Although data sharing is one of the primary measures proposed to improve the integrity and quality of published research, studies show it remains the exception not the rule. The current study examines the availability of data in papers reporting the results of analyses of empirical data from original research in high-impact addiction journals. Thirteen high-impact journals with data sharing policies were selected from those included in the substance abuse category of the 2018 Clarivate (...) Analytics’ Journal Citation Report. The first 10 full or short original research reports that included empirical data in the most recent complete issue of each journal were electronically searched and reviewed for reference to where their data can be obtained and for a formal data sharing statement. Only eight of the 130 papers contained a data sharing statement in their text or supplementary online materials, and just one contained a direct link to the data analyzed. Data sharing was rare in the 13 high-impact addiction journals reviewed. The nature of the data reported in addiction journals might partly explain this. Currently, data sharing is not a procedure likely to improve the quality and integrity of published addiction research. (shrink)

Evidence, as viewed through the lens of statistical significance, is not always as it appears! In the investigation of clinical research findings arising from statistical analyses, a fundamental initial step for the emerging fraud detective is to retrieve the source data for cross-examination with the study data. Recognizing that source data are not always forthcoming and that, realistically speaking, the investigator may be uninitiated in fraud detection and investigation, this paper will highlight some key methodological procedures (...) for providing a sounder evidence base for withdrawing from a study on grounds of integrity. The promotion of patient safety is paramount. However, there is a broader rationale for disseminating these ideas. This includes empowering researchers to optimize their personal integrity, make informed choices regarding membership of future research collaborations and successfully voice their concerns to journal editors, particularly where a conflict of interests can render such dialogues particularly difficult. Recommendations will be supported by topical case studies and practical steps involving data exploration, testing of baseline data and application of Benford’s Law. While this paper has a clinical focus, the advice provided is transferrable to a wide range of multidisciplinary research settings outside of Medicine. (shrink)

Due to the variety of research ethics and integrity training formats it may be challenging to use a common instrument to monitor and evaluate the development of competencies and learning progress as well as determine the effectiveness of the training. The present study scrutinises the use of learning diaries as one possible measure to evaluate the development of ethics competencies. The aim of the study was to increase understanding about how learning diaries capture development of research ethics (...) and integrity competencies of participants and explore the use of diaries as a measure of training effectiveness. In the evaluative case study, a micro-credential programme was used as the context of the study and data was analysed using deductive content analysis. As a result, we outline criteria for analysis to be used in ethics training programmes for learning diaries. Results indicated that learning diaries submitted in the forum format (compared to individual submissions) provide peer support, so learners display more content knowledge on high levels of reflection and understanding. Submitting learning diaries over a longer period and making submissions repeatedly can improve writing and reflection competencies. The quality of learning diary entries may also depend on learner characteristics, such as commitment and motivation. Keeping a learning diary can help retain obtained competencies over a longer period. The article ends with a set of recommendations for implementing learning diaries as one measure of evaluation. (shrink)

Responsible data management is a multifaceted topic involving standards within the research community regarding research design and the sharing of data as well as the collection, selection, analysis and interpretation of data. Transparency in the manipulation of images is increasingly important in order to avoid misrepresentation of research findings, and research oversight is also critical in helping to assure the integrity of the research process. Intellectual property issues both unite and divide (...) academe and industry in their approaches to data management. Central to the realization and promulgation of responsible data management is clear and careful communication of standards and expectations within the research community to trainees as well as among colleagues. These topics are examined and explored in depth in a special issue of Science and Engineering Ethics on responsible data management. (shrink)

To build a culture of integrity in a HE institution, innovative approaches are needed to enhance education of research ethics and integrity. In addition to educating students, understanding is needed on how to facilitate for those who lead others. The focus is on early-career researchers as future REI leaders. The current study sheds light on how learning and REI leadership competencies evolve during scaffolded collaborative research ethics training for this target group. The study combines new instruments (...) as part of holistic DBR. Data was collected from 3 groups of experienced researchers attending 3 training sessions in the form of written group reports and group discussion recordings. Qualitative deductive analysis was utilised for monitoring the learning process, scaffolding patterns, and display of REI leadership principles. Also, quantitative analysis was applied to group discussion data, displaying the nature of collaboration. Results imply that collaborative case-based role play format is effective in training future REI leaders. All groups displayed high levels of understanding. Combining ECRs and researchers with leadership experience supported knowledge building in the groups by bringing in various perspectives. Even though groups required different amounts of scaffolding, the nature was similar: maintaining goal orientation, highlighting critical features and redirecting learners. Learning analytics of collaboration indicated that the person with leadership experience was not necessarily the most active participant nor took the role of a ‘group leader’. Still, it was mostly that person who displayed leadership competencies thus supporting other group members to develop leadership aspects. (shrink)

This paper aims to provide a description of how authors publishing in medical ethics journals have made use of empirical research data in papers on the topic of gamete or embryo donation by means of references to studies conducted by others. Rather than making a direct contribution to the theoretical methodological literature about the role empirical research data could play or should play in ethics studies, the focus is on the particular uses of these data (...) and the problems that can be encountered with this use. In the selection of papers examined, apart from being used to describe the context, empirical evidence was mainly used to recount problems that needed solving. Few of the authors looked critically at the quality of the studies they quoted, and several instances were found of empirical data being used poorly or inappropriately. This study provides some initial baseline evidence that shows empirical data, in the form of references to studies, are sometimes being used in inappropriate ways. This suggests that medical ethicists should be more concerned about the quality of the empirical data selected, the appropriateness of the choice for a particular type of data and the correct integration of this evidence in sound argumentation. Given that empirical data can be misused also when merely cited instead of reported, it may be worthwhile to explore good practice requirements for this type of use of empirical data in medical ethics. (shrink)

Ethics is a foundational competency in healthcare inherent in everyday nursing practice. Therefore, the promotion of qualified nurses’ and nursing students’ moral competence is essential to ensure ethically high-quality and sustainable healthcare. The aim of this integrative literature review is to identify the factors contributing to the promotion of qualified nurses’ and nursing students’ moral competence. The review has been registered in PROSPERO (CRD42023386947) and reported according to the PRISMA guideline. Focusing on qualified nurses’ and nursing students’ moral competence, a (...) literature search was undertaken in January 2023 in six scientific databases: CINAHL, Cochrane Library, PsycINFO, PubMed Medline, Scopus and Web of Science. Empirical studies written in English without time limitation were eligible for inclusion. A total of 29 full texts were retrieved and included out of 5233 citations. Quality appraisal was employed using Joanna Briggs Institute checklists and the Mixed Method Appraisal Tool. Data were analysed using inductive content analysis. Research about the factors contributing to the promotion of qualified nurses’ and nursing students’ moral competence is limited and mainly explored using descriptive research designs. The contributing factors were identified as comprising two main categories: (1) human factors, consisting of four categories: individual, social, managerial and professional factors, and ten sub-categories; and (2) structural factors, consisting of four categories: educational, environmental, organisational and societal factors, and eight sub-categories. This review provides knowledge about the factors contributing to the promotion of qualified nurses’ and nursing students’ moral competence for the use of researchers, nurse educators, managers, organisations and policymakers. More research about the contributing factors is needed using complex intervention, implementation and multiple methods designs to ensure ethically sustainable healthcare. (shrink)

Higgins’ et al recent paper1 presents a well-thought ethical analysis of the problems associated with the publication of unethical transplant research. More generally, research ethics committees never allow the use or reuse of data that has been collected without their required approval. Similarly, in many judicial settings, evidence is generally inadmissible when it is gathered illegally.2 Thus, journals and other publishers should follow in their footsteps and also roadblock any associated publications. Moreover, unethical organ donation and transplantation (...) research is rife with integrity issues, which violate publication norms. If these normally accepted exclusions3 are ignored, then publishers are turning off their moral compass and facilitating an attitude of ‘anything goes’ in the conduct of research. Table 1 presents a timeline of scholarly responses to the problem of publishing unethical transplant research. As shown, since 2007 there has been a slow evolution of changing publisher practices, yet more …. (shrink)

The paper discusses the problems in the detection of security information in legal and other administrative data. The authors analyse the prospects of the use of datamining in the solution of two key problems: abundance and indirectness of these data. Security research uses two kinds of data. The first one is scientific data, designed and gathered specially for the verification of certain security theories. They are the data of criminological, sociological, psychological surveys, experimental (...) class='Hi'>data, etc. The second kind is data that are not designed for security research. Most of the data are the by-products of the national legal system, especially its criminal justice, of national and local institutions responsible for the maintenance of public order, and of other public agencies. All the data provide huge amounts of information destined to control and direct the activities of these institutions. There are two kinds of problems in the use of this information in security study. First, this information has to be ‘decoded’ from data describing the activities of related institutions. Second, data on security are lost in huge amounts of other public data. Thus, they have to be ‘mined’. The paper discusses the prospects of the modern information proceeding method—data-mining in the solution of both problems. A new concept of data mining as a meta-procedure is proposed. The object of this meta-procedure is supposed to be the integration of multiple current theories (for example, criminal security) and related statistical procedures. A general algorithm of such data-mining is proposed. (shrink)

BackgroundA proposal to encourage the preregistration of research on research integrity was developed and adopted as the Amsterdam Agenda at the 5th World Conference on Research Integrity. This paper reports on the degree to which abstracts of the 6th World Conference in Research Integrity reported on preregistered research.MethodsConference registration data on participants presenting a paper or a poster at 6th WCRI were made available to the research team. Because the (...) class='Hi'>data set was too small for inferential statistics this report is limited to a basic description of results and some recommendations that should be considered when taking further steps to improve preregistration.Results19% of the 308 presenters preregistered their research. Of the 56 usable cases, less than half provided information on the six key elements of the Amsterdam Agenda. Others provided information that invalidated their data, such as an uninformative URL. There was no discernable difference between qualitative and quantitative research.ConclusionsSome presenters at the WCRI have preregistered their research on research integrity, but further steps are needed to increase frequency and completeness of preregistration. One approach to increase preregistration would be to make it a requirement for research presented at the World Conferences on Research Integrity. (shrink)

Cho and Martinez-Martin provide a wide-ranging analysis of what they label “digital simulacra”—which are in essence data-driven AI-based simulation models such as digital twins or models used for i...

This paper sets out from the hypothesis that the embodied competences and expertise which characterise dance and sports activities have the potential to constructively challenge and inform phenomenological thinking. While pathological cases present experiences connected to tangible bodily deviations, the specialised movement practices of dancers and athletes present experiences which put our everyday experiences of being a moving body into perspective in a slightly different sense. These specialised experiences present factual variations of how moving, sensing and interacting can be like (...) for us as body-subjects. To use of these sources inevitably demands that qualitative research methodologies – especially short-term ethnographical fieldwork – form part of the research strategy and qualify the way the researcher involves a second-person perspective when interviewing dancers and athletes about their experiences. In the subsequent phases analysing the data generated, I argue that researchers first strive to achieve internal consistency of empirical themes identified in the case of movement practices in question thus keeping to a contextualised and lived perspective, also denoted as an emic perspective. In subsequent phases phenomenological insights are then actively engaged in the exploration and discussion of the possible transcendental structures making the described subjective experiences possible. The specialised and context-defined experiences of ‘what a moving body can be like’ are accordingly involved as factual variations to constructively add to and potentially challenge phenomenological descriptions. Lastly, I exemplify how actual research strategies have been enacted in a variety of projects involving professional dancers’, golfers’ and sports dancers’ practices and experiences, respectively. (shrink)

A course focusing on ethical issues in physics has been taught to undergraduate students at Eastern Michigan University since 1988. The course covers both responsible conduct of research and ethical issues associated with how physicists interact with the rest of society. Since most undergraduate physics majors will not have a career in academia, it is important that a course such as this address issues that will be relevant to physicists in a wide range of job situations. There is a (...) wealth of published work that can be drawn on for reading assignments. (shrink)

Accurate and valid data on criminality are the foundations of any efficient crime policy and crime prevention. However, modern criminal justice and crime prevention has to deal with multiple, often conflicting sources of data. Our paper considers the prospects of integration of the most important data on criminality:victimological and recorded data. The way of their integration – a two-rays approach (RAS) – has been proposed. A new integrated criminality research tool, able to combine victimological and (...) recorded data has been developed. This tool was used in the nation-wide representative study of criminality in Lithuania. The outcomes of this study and the integrated (“two-ray”) investigation of criminality are discussed. (shrink)

This chapter contains sections titled: Introduction The Nature and Conduct of Research Collecting Research Data Controls Intellectual Property.

Unavailability of published data and studies focused on young researchers in Europe and research integrity issues reveals that clear understanding and stance on this subject within European area is lacking. Our study provides information on attitudes and experiences of European researchers at early career stages, based on a limited sample of respondents. The study provides both quantitative and qualitative results for the examined issues. The data suggest that awareness and interest of the younger researchers surveyed in (...) research integrity issues is high, however, it is often based on self-initiatives, with many of the respondents not having adequate training or any possibility to obtain it. Our attitude survey conducted within the European Council of Doctoral Candidates and Junior Researchers indicates that only 22 % of respondents had an opportunity to obtain relevant training, and that only one third believed that institutions and supervisors regularly paid attention to it. Further, we noted certain differences between disciplines. The study also reveals that many younger researchers felt they faced problems due to the misconduct of their senior colleagues and the existing institutional culture. The results of the study indicate a need for better prevention mechanisms, training and raising awareness activities. Preferably, junior researchers should be given an active role in shaping the integrity culture. It should be noted that the presented results should be considered in the context of the limitations stemming from the small-scale survey. This paper encourages further research activities on research integrity practices to provide stronger evidence on the attitudes and experiences of young researchers in Europe and other parts of the world. (shrink)

Recent empirical evidence has demonstrated that research misconduct occurs to a substantial degree in biomedical research. It has been suggested that scientific integrity is also of concern in China, but this seems to be based largely on anecdotal evidence. We, therefore, sought to explore the Chinese situation, by making a systematic review of published empirical studies on biomedical research integrity in China. One of our purposes was also to summarize the existing body of research (...) published in Chinese. We searched the China National Knowledge Infrastructure, Wanfang Data, PubMed and Web of Science for potentially relevant studies, and included studies meeting our inclusion criteria, i.e. mainly those presenting empirically obtained data about the practice of research in China. All the data was extracted and synthesized using an inductive approach. Twenty-one studies were included for review. Two studies used qualitative methods and nineteen studies used quantitative methods. Studies involved mainly medical postgraduates and nurses and they investigated awareness, attitudes, perceptions and experiences of research integrity and misconduct. Most of the participants in these 21 studies reported that research integrity is of great importance and that they obey academic norms during their research. Nevertheless, the occurrence of research misbehaviors, such as fabrication, falsification, plagiarism, improper authorship and duplicate submission was also reported. Strengthening research integrity training, developing the governance system and improving the scientific evaluation system were areas of particular attention in several studies. Our review demonstrates that a substantial number of articles have been devoted to research integrity in China, but only a few studies provide empirical evidence. With more safeguard measures of research integrity being taken in China, it would be crucial to conduct more research to explore researchers’ in-depth perceptions and evaluate the changes. (shrink)

Following its determination of a finding of scientific misconduct the Office of Research Integrity (ORI) will seek redress for any injury sustained. Several remedies both administrative and statutory may be available depending on the strength of the evidentiary findings of the misconduct investigation. Pursuant to federal regulations administrative remedies are primarily remedial in nature and designed to protect the integrity of the affected research program, whereas statutory remedies including civil fines and criminal penalties are designed to (...) deter and punish wrongdoers. This commentary discusses the available administrative and statutory remedies in the context of a specific case, that of former University of Vermont nutrition researcher Eric Poehlman, and supplies a possible rationale for the legal result. (shrink)

In response to a series of allegations of scientific misconduct in the 1980’s, a number of scientific societies, national agencies, and academic institutions, including Harvard Medical School, devised guidelines to increase awareness of optimal scientific practices and to attempt to prevent as many episodes of misconduct as possible. The chief argument for adopting guidelines is to promote good science. There is no evidence that well-crafted guidelines have had any detrimental effect on creativity since they focus on design of research (...) studies, documentation of research findings, assignment of credit through authorship, data management and supervision of trainees, not on the origin and evolution of ideas. This paper addresses a spectrum of causes of scientific misconduct or unacceptable scientific behavior and couples these with estimates of the potential for prevention if guidelines for scientific investigation are adopted. The conclusion is that clear and understandable guidelines should help to reduce the chance that flawed research will escape from our institutions. However, they cannot be relied upon alone to prevent all instances of scientific misconduct and should be regarded rather as one means of bolstering the integrity of the entire scientific enterprise. (shrink)

This paper provides an in-depth analysis and discussion of the key issues of quality management, evaluation, and detection contained in big data for automotive application scenarios. A generalized big data quality management model and programming framework are proposed, and a series of data quality detection and repair interfaces are built to express the processing semantics of various data quality issues. Through this data quality management model and detection and repair interfaces, users can quickly build custom (...) data quality detection and repair tasks for different data quality requirements. To improve the operational efficiency of complex data quality management algorithms in large-scale data scenarios, corresponding parallelization algorithms are studied and implemented for detection and repair algorithms with long computation time, including priority-based multiconditional function-dependent detection and repair algorithms, entity detection, and extraction algorithms based on semantic information and chunking techniques, and plain Bayesian-based missing value filling algorithms, and this paper proposes a data validity evaluation algorithm and enhances the validity of the original data in practical applications by adding temporal weights, and finally it passed the experimental validation. Through the comprehensive detection process of data importance, network busyness, duration of transmission process, and failure situation, the efficiency has been increased by 20%, and an adaptive data integrity detection method based on random algorithm and encryption algorithm is designed. After experimental verification, this method can effectively detect the integrity of the data transmission process and improve the application of data value, and the final effect is increased by 30.5%. (shrink)

BackgroundResearch and academic institutions use various delivery channels to deliver Research Integrity education in their communities. Yet there is no consensus on the best delivery method and the effectiveness of these channels in inculcating a positive RI culture varies across institutions. Hence, this study aimed to understand the preferences of the research community in Nanyang Technological University, Singapore.MethodsAn online survey was conducted on NTU research community to understand their experience with, and preference for each RI education (...) mode offered in NTU. The RI education modes surveyed in the general ranking question are Data Management Plan workshops, Epigeum e-Learning, Compass e-newsletter, and NTU policy on Research Integrity and Responsible Conduct of Research. There were 242 responses, comprising 50% research students, 32.2% research staff and 17.8% faculty members. Non-parametric statistical techniques were used to analyse preferences across different RI education modes and within sub-groups.ResultsMore than 92% of respondents subscribed to the importance of RI education, but with different preferences for education modes. With respect to RI education in NTU, Compass e-newsletters were ranked the lowest. Most felt that they were too wordy and unengaging, making it difficult to absorb information. Similarly, Epigeum e-Learning and ‘policy’ were found to be too lengthy in presentation. The compulsory NTU RI education modes enjoyed higher participation rates of 70–80% compared with 32–37% for the self-regulated modes. This suggests that regulatory mechanisms are still necessary to promote participation in RI education, and thus, core RI education content should be made compulsory in research/academic institutions. Although Epigeum is a compulsory course, some may not have participated in the programme due to technical issues or they might have forgotten to participate in the programme within the permissible timeframe. For all four RI education modes in NTU, the lack of awareness was among the top cited reasons for not participating.ConclusionsMost NTU researchers perceived RI education positively although they may have reservations for some approaches. Conversely, e-Learning is favored over all the other modes except for the mode of Policy. Findings from this study are useful for improving the design of RI education strategies to be more appealing to the research community by enhancing user experience in terms of user-friendliness, relevance to specialisation, providing concise information and better presentation of materials For institutions with similar modes of RI education as NTU, these results may be relevant in improving participation rates and presentation of RI education modes, such as the use of infographics and more concise information. (shrink)

BackgroundInstitutions, funding agencies and publishers are placing increasing emphasis on good research data management (RDM). RDM lapses in medical science can result in questionable data and cause the public’s confidence in the scientific community to crumble. A fledgling medical school in a young university in Singapore has mandated every funded research project to have a data management plan (DMP). However, researchers’ adherence to their DMPs was unknown until the school embarked on routine data auditing. (...) We hypothesize that research data auditing improves RDM awareness, compliance and reception in the school.MethodsWe conducted surveys with research PIs and researchers before and after data auditing to evaluate differences in self-reported RDM awareness, compliance and reception. As it is mandatory to deposit research data in a central data repository system in the school, we tracked data deposition by each laboratory from 2 weeks before to 3 months after data auditing as a marker of actual RDM compliance.ResultsResearch data auditing had an overall positive effect on self-reported RDM awareness, compliance and reception for both research PIs and researchers. Research PIs agreed more that RDM was important to scientific reproducibility, were more aware of proper RDM, had higher RDM strength in their laboratories and were more compliant with the DMP. Both research PIs and researchers believed data auditing helped them to be more compliant with data deposition in the repository. However, data auditing had no significant impact on laboratories’ data deposition rates over time, which could be due to the short sampling period.ConclusionsResearch PIs and researchers generally felt that data auditing was effective in improving RDM practices. It helped to evaluate their RDM practices objectively, propose corrective actions for RDM lapses and spread awareness of the university’s data management policies. Our findings corroborated other studies in medical research, geosciences, engineering and ethics that data auditing promotes good RDM practices. Hence, we recommend research institutions worldwide to adopt data auditing as a tool to reinforce research integrity. (shrink)

This paper discusses what it means and what it takes to integrate data in order to acquire new knowledge about biological entities and processes. Maureen O’Malley and Orkun Soyer have pointed to the scientific work involved in data integration as important and distinct from the work required by other forms of integration, such as methodological and explanatory integration, which have been more successful in captivating the attention of philosophers of science. Here I explore what data integration involves (...) in more detail and with a focus on the role of data-sharing tools, like online databases, in facilitating this process; and I point to the philosophical implications of focusing on data as a unit of analysis. I then analyse three cases of data integration in the field of plant science, each of which highlights a different mode of integration: inter-level integration, which involves data documenting different features of the same species, aims to acquire an interdisciplinary understanding of organisms as complex wholes and is exemplified by research on Arabidopsis thaliana; cross-species integration, which involves data acquired on different species, aims to understand plant biology in all its different manifestations and is exemplified by research on Miscanthus giganteus; and translational integration, which involves data acquired from sources within as well as outside academia, aims at the provision of interventions to improve human health and is exemplified by research on Phytophtora ramorum. Recognising the differences between these efforts sheds light on the dynamics and diverse outcomes of data dissemination and integrative research; and the relations between the social and institutional roles of science, the development of data-sharing infrastructures and the production of scientific knowledge. (shrink)

Research integrity is core to the mission of higher education. In undergraduate student samples, self-reported rates of data fabrication have been troublingly high. Despite this, no research has investigated undergraduate data fabrication in a more systematic manner. We applied duplication screening techniques to 18 data sets submitted by psychology honors students for assessment. Although we did not identify any completely duplicated cases, there were numerous partial duplicates. Rather than indicating fabrication, however, these partial duplicates (...) are likely a consequence of poor measure selection, insufficient data screening, and/or participant characteristics. Implications for the teaching and supervision of honors students are discussed. (shrink)

Web-based platforms play an increasingly important role in managing and sharing research data of all types and sizes. This article presents a case study of the data storage, sharing, and management platform Figshare. We argue that such platforms are displacing and reconfiguring the infrastructure of norms, technologies, and institutions that underlies traditional scholarly communication. Using a theoretical framework that combines infrastructure studies with platform studies, we show that Figshare leverages the platform logic of core and complementary components (...) to re-integrate a presently splintered scholarly infrastructure. By means of this logic, platforms may provide the path to bring data inside a scholarly communication system still optimized mainly for text publications. Yet the platform strategy also risks turning over critical scientific functions to private firms whose longevity, openness, and corporate goals remain uncertain. It may amplify the existing trend of splintering infrastructures, with attendant effects on equity of service. (shrink)

The prevalence and characteristics of research misconduct have mainly been studied in highly developed countries. In moderately or poorly developed countries such as Croatia, data on research misconduct are scarce. The primary aim of this study was to determine the rates at which scientists report committing or observing the most serious forms of research misconduct, such as falsification, fabrication, plagiarism, and violation of authorship rules in the Croatian scientific community. Additionally, we sought to determine the degree (...) of development and the extent of implementation of the system for defining and regulating research misconduct in a typical scientific community in Croatia. An anonymous questionnaire was distributed among 1232 Croatian scientists at the University of Rijeka in 2012/2013 and 237 returned the survey. Based on the respondents who admitted having committed research misconduct, 9 admitted to plagiarism, 22 to data falsification, 9 to data fabrication, and 60 respondents admitted to violation of authorship rules. Based on the respondents who admitted having observed research misconduct of fellow scientists, 72 observed plagiarism, 69 observed data falsification, 46 observed data fabrication, and 132 respondents admitted having observed violation of authorship rules. The results of our study indicate that the efficacy of the system for managing research misconduct in Croatia is poor. At the University of Rijeka there is no document dedicated exclusively to research integrity, describing the values that should be fostered by a scientist and clarifying the forms of research misconduct and what constitutes a questionable research practice. Scientists do not trust ethical bodies and the system for defining and regulating research misconduct; therefore the observed cases of research misconduct are rarely reported. Finally, Croatian scientists are not formally educated about responsible conduct of research at any level of their formal education. All mentioned indicate possible reasons for higher rates of research misconduct among Croatian scientists in comparison with scientists in highly developed countries. (shrink)

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine (...) significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists. (shrink)

Currently, most studies are moving towards Big Data Analytics because they are important in research, and this is becoming increasingly important as Internet and Web 2.0 technologies become increasingly popular and how to handle this massive data. Moreover, this proliferation of the Internet and social media has revolutionized the search process. With this Big Data of data generated by users using social media or electronic platforms, the use of these details and daily activities is integrated (...) with tools designed for analysis. The topic of analyzing big social media will be discussed and an intensive explanation will be given to the topic of Big Data. This paper compares Big Data analysis techniques using several methods of analysis, the first technique using neural networks and the second technique using data clustering. The purpose of this study is to infer the ages that use social media and what are their interests in writing and in the end, who are the most widely used social media males or females. (shrink)

This article examines whether and how a particular research practice is overseen and supervised, and by whom. This investigation fills notable gaps in the literature on science, including a lack of emphasis on larger sociopolitical structures, a neglect of regulation, and indifference toward ethics. The author focuses on the oversight of a particular research practice; data editing; which embodies qualities that are intriguing to sociologists of science: invisibility, uncertainty, heterogeneity, and reliance on tacit knowledge. These characteristics pose (...) unique challenges to oversight efforts. An analysis of in-depth interviews with gatekeepers reveals that although the methodological and ethical implications of data editing strategies can be substantial, oversight of such practices falls outside the stages and domains of current gatekeeping activity. These findings serve as the basis for recommendations to ensure data integrity while maintaining the professional autonomy of researchers. (shrink)

BackgroundThe areas of Research Ethics (RE) and Research Integrity (RI) are rapidly evolving. Cases of research misconduct, other transgressions related to RE and RI, and forms of ethically questionable behaviors have been frequently published. The objective of this scoping review was to collect RE and RI cases, analyze their main characteristics, and discuss how these cases are represented in the scientific literature.MethodsThe search included cases involving a violation of, or misbehavior, poor judgment, or detrimental research (...) practice in relation to a normative framework. A search was conducted in PubMed, Web of Science, SCOPUS, JSTOR, Ovid, and Science Direct in March 2018, without language or date restriction. Data relating to the articles and the cases were extracted from case descriptions.ResultsA total of 14,719 records were identified, and 388 items were included in the qualitative synthesis. The papers contained 500 case descriptions. After applying the eligibility criteria, 238 cases were included in the analysis. In the case analysis, fabrication and falsification were the most frequently tagged violations (44.9%). The non-adherence to pertinent laws and regulations, such as lack of informed consent and REC approval, was the second most frequently tagged violation (15.7%), followed by patient safety issues (11.1%) and plagiarism (6.9%). 80.8% of cases were from the Medical and Health Sciences, 11.5% from the Natural Sciences, 4.3% from Social Sciences, 2.1% from Engineering and Technology, and 1.3% from Humanities. Paper retraction was the most prevalent sanction (45.4%), followed by exclusion from funding applications (35.5%).ConclusionsCase descriptions found in academic journals are dominated by discussions regarding prominent cases and are mainly published in the news section of journals. Our results show that there is an overrepresentation of biomedical research cases over other scientific fields compared to its proportion in scientific publications. The cases mostly involve fabrication, falsification, and patient safety issues. This finding could have a significant impact on the academic representation of misbehaviors. The predominance of fabrication and falsification cases might diverge the attention of the academic community from relevant but less visible violations, and from recently emerging forms of misbehaviors. (shrink)

Background There is a dearth of information on the prevalence of scientific misconduct from Nigeria. Objectives This study aimed at determining the prevalence of scientific misconduct in a group of researchers in Nigeria. Factors associated with the prevalence were ascertained. Method A descriptive study of researchers who attended a scientific conference in 2010 was conducted using the adapted Scientific Misconduct Questionnaire‐Revised (SMQ‐R). Results Ninety‐one researchers (68.9%) admitted having committed at least one of the eight listed forms of scientific misconduct. Disagreement (...) about authorship was the most common form of misconduct committed (36.4%) while plagiarism was the least (9.2%). About 42% of researchers had committed falsification of data or plagiarism. Analysis of specific acts of misconduct showed that committing plagiarism was inversely associated with years in research (Fisher exact p‐value = 0.02); falsifying data was related to perceived low effectiveness of the institution's rules and procedures for reducing scientific misconduct (X2 = 6.44, p‐value = 0.01); and succumbing to pressure from study sponsor to engage in unethical practice was related to sex of researcher (Fisher exact p‐value = 0.02). Conclusions The emergent data from this study is a cause for serious concern and calls for prompt intervention. The best response to reducing scientific misconduct will proceed from measures that contain both elements of prevention and enforcement. Training on research ethics has to be integrated into the curriculum of undergraduate and postgraduate students while provision should be made for in‐service training of researchers. Penalties against acts of scientific misconduct should be enforced at institutional and national levels. (shrink)

Is Big Data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of Big Data science does not lie in the sheer quantity of data involved, but rather in the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community and the methods, infrastructures, technologies, skills and knowledge (...) developed to handle data. These developments generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this article reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which Big Data needs to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analysing data given these developments, and the opportunities and worries associated with Big Data discourse and methods. (shrink)

The integration of normative analysis with empirical data often remains unclear despite the availability of many empirical bioethics methodologies. This paper sought bioethics scholars’ experiences and reflections of doing empirical bioethics research to feed these practical insights into the debate on methods. We interviewed twenty-six participants who revealed their process of integrating the normative and the empirical. From the analysis of the data, we first used the themes to identify the methodological content. That is, we show participants’ (...) use of familiar methods explained as “back-and-forth” methods (reflective equilibrium), followed by dialogical methods where collaboration was seen as a better way of doing integration. Thereafter, we highlight methods that were deemed as inherent integration approaches, where the normative and the empirical were intertwined from the start of the research project. Second, we used the themes to express not only how we interpreted what was said but also how things were said. In this, we describe an air of uncertainty and overall vagueness that surrounded the above methods. We conclude that the indeterminacy of integration methods is a double-edged sword. It allows for flexibility but also risks obscuring a lack of understanding of the theoretical-methodological underpinnings of empirical bioethics research methods. (shrink)

Animal health is key to successful livestock production in developing countries. The development and delivery of vaccines against major epidemic diseases is one component of improving animal health. This paper presents a case study from Kenya on the production and delivery of a vaccine against Contagious Caprine Pleuropneumonia (CCPP), a major disease of goats. The vaccine, while technically a viable preventative measure against CCPP, has not been well integrated into Kenya's animal health care system. From February through November, 1992, the (...) authors explored the organizational and policy constraints to vaccine production and distribution. Data were obtained through interviews, field visits, and available documents. Results suggest an animal health system that 1) does not have a well developed infrastructure to track, identify, and control animal diseases; 2) tends to place greater emphasis on cattle, rather than small ruminant health care; and 3) is not well linked in terms of research, development, and extension services. (shrink)

We are reporting on how involved the mentor was in promoting responsible research in cases of research misconduct. We reviewed the USPHS misconduct files of the Office of Research Integrity. These files are created by Institutions who prosecute a case of possible research misconduct; ORI has oversight review of these investigations. We explored the role of the mentor in the cases of trainee research misconduct on three specific behaviors that we believe mentors should perform (...) with their trainee: (1) review source data, (2) teach specific research standards and (3) minimize stressful work situations. We found that almost three quarters of the mentors had not reviewed the source data and two thirds had not set standards. These two behaviors are positively correlated. We did not see convincing evidence in the records that mentors were causing stress, but it was apparent in the convicted trainees’ confessions that over 50% experienced some kind of stress. Secondary data, while not created for this research purpose, allows us to look at concrete research behaviors that are otherwise not very researchable. We believe it is important for mentors and institutions to devote more attention to teaching mentors about the process of education and their responsibilities in educating the next generation of scientists. This becomes a critical issue for large research groups who need to determine who is in charge educating, supervising and assuring data integrity. (shrink)

This essay is a response to proposals to integrate patient-subjective or idiographic data into future versions of nosologies such as the DSM and the ICD. It argues that a nosology is not a suitable vehicle for disseminating psychopathological-phenomenological research results throughout the field. Drawing on the work of Ludwig Binswanger, it examines, on the basis of four postulates, how he applies the Husserlian concept of intentionality in psychiatry and thus arrives at a psychopathological phenomenology. For each individual postulate, (...) we then look in depth at the implications for the current debate around DSM. The conclusion we come to is that, both because of the objective of phenomenological research and because of the complexity of the kind of information involved in findings based on that research, it is impossible to integrate these findings into a nosology without deviating from either them or the nosology itself. (shrink)

Science traditionally is taught as a linear process based on logic and carried out by objective researchers following the scientific method. Practice of science is a far more nuanced enterprise, one in which intuition and passion become just as important as objectivity and logic. Whether the activity is committing to study a particular research problem, drawing conclusions about a hypothesis under investigation, choosing whether to count results as data or experimental noise, or deciding what information to present in (...) a research paper, ethical challenges inevitably will arise because of the ambiguities inherent in practice. Unless these ambiguities are acknowledged and their sources understood explicitly, responsible conduct of science education will not adequately prepare the individuals receiving the training for the kinds of decisions essential to research integrity that they will have to make as scientists. (shrink)

Although research integrity practices in institutional settings is not a new area of study, because of its foundational importance in university settings it remains a topic worthy of study. In addition, rarely are all members of the university community included as participants in studies focused upon research integrity and ethics. Thus, to add to the existent literature, the authors investigated research integrity practices in a medium-sized Midwestern polytechnic university setting, including 467 participants from across (...) all divisions of the university community. This mixed data survey study was comprised of six sections; presented is information for two sections—sample demographics and research integrity. The demographics appear reflective of those of the larger survey, as well as the university setting of study. In the research integrity section there were two parts—one qualitative and one quantitative. Implications with regard to research integrity and ethics in the institutional setting of study are presented. (shrink)

Although research integrity practices in institutional settings is not a new area of study, because of its foundational importance in university settings it remains a topic worthy of study. In addition, rarely are all members of the university community included as participants in studies focused upon research integrity and ethics. Thus, to add to the existent literature, the authors investigated research integrity practices in a medium-sized Midwestern polytechnic university setting, including 467 participants from across (...) all divisions of the university community. This mixed data survey study was comprised of six sections; presented is information for two sections—sample demographics and research integrity. The demographics appear reflective of those of the larger survey, as well as the university setting of study. In the research integrity section there were two parts—one qualitative and one quantitative. Implications with regard to research integrity and ethics in the institutional setting of study are presented. (shrink)

Ethics in scientific research has never been more important. Recent controversies over the integrity of data in federally funded science, the manipulation and distortion of privately sponsored research, cloning, stem cell research, and the patenting of DNA and cell lines, illustrate the need for a more thorough education in ethics for researchers at all levels. Now in its second edition, Responsible Conduct of Research provides an introduction to many of the social, ethical, and legal (...) issues facing scientists today. The fully updated volume includes three brand new chapters and additional cases for discussion, as well as analysis of the latest issues and problems in research ethics. Featuring chapters that treat such topics as ethical decision-making, research misconduct, and intellectual property, this new edition will be an indispensable resource for students and teachers, academics and industry professionals alike. (shrink)

Traditional libraries will evolve to digital libraries which are clearly superior at: Dissemination, sharing, linking, storing, and information variety. Therefore, one can say that electronic libraries have specific needs in terms of content, services and long-term preservation. In contrast, digital libraries suffer from several inherent constraints: storage limitation, performance, relevancy, decentralization, lack of semantic, fault tolerance, scalability. The main intention of this paper is to present a design of an integrated digital library system based on peer-to-peer data mining. This (...) article aims also to prove that peer-to-peer mining, an emerging branch of distributed data mining, is a hot research area well suited to overcome intrinsic problems of digital libraries. (shrink)

Starting from the observation that data sharing in general and sharing of reusable behavioral data in particular is still scarce in psychology, we set out to develop a curation standard for behavioral psychological research data rendering data reuse more effective and efficient. Specifically, we propose a standard that is oriented toward the requirements of the psychological research process, thus considering the needs of researchers in their role as data providers and data users. (...) To this end, we suggest that researchers should describe their data on three documentation levels reflecting researchers’ central decisions during the research process. In particular, these levels describe researchers’ decisions on the concrete research design that is most suitable to address the corresponding research question, its operationalization as well as a precise description of the subsequent data collection and analysis process. Accordingly, the first documentation level represents, for instance, researchers’ decision on the concrete hypotheses, inclusion/exclusion criteria and the number of measurement points as well as a conceptual presentation of all substantial variables included in the design. On the second level these substantial variables are presented within an extended codebook allowing for the linkage between the conceptual research design and the actually operationalized variables as presented within the data. Finally, the third level includes all materials, data preparation and analyses scripts as well as a detailed procedure graphic that allows the data user to link the information from all three documentation levels at a single glance. After a comprehensive presentation of the standard, we will offer some arguments for its integration into the psychological research process. (shrink)

With the improvement of the material standard of living, the demand of the people for spiritual culture continues to increase. In terms of tourism, people have gradually shifted from simple tourism needs to integrated tourism needs. Tourism has become an effective way for people to expand their horizons and enrich their spiritual world. Tourism is one of the first industries to apply network technology. After long-term exploration and innovation, tourism e-commerce has developed rapidly. Coupled with the advent of the era (...) of big data, the concept of customized tourism has gradually entered people’s lives. This paper mainly introduces the research on the impact of e-commerce tourism on custom tourism in the EBD and intends to provide some ideas and directions for the good development of custom tourism. This paper proposes a research strategy on the impact of tourism e-commerce on customized tourism in the EBD, including related theoretical research methods, random forest algorithms, support vector machine classification algorithms, and Bayesian estimation algorithms, which are used to customize tourism e-commerce in the EBD, and research experiment on the impact of tourism. The experimental results show that 79.84% of customers are willing to purchase related products again after experiencing travel customization services using big data technology. By using the various characteristics of tourism big data for data mining and classification, it provides users with personalized travel search services. At the same time, big data technology can provide basic technical support for customized tourism development, which shows that it can also provide customized services for users. (shrink)

Table of contentsI1 Proceedings of the 4th World Conference on Research IntegrityConcurrent Sessions:1. Countries' systems and policies to foster research integrityCS01.1 Second time around: Implementing and embedding a review of responsible conduct of research policy and practice in an Australian research-intensive universitySusan Patricia O'BrienCS01.2 Measures to promote research integrity in a university: the case of an Asian universityDanny Chan, Frederick Leung2. Examples of research integrity education programmes in different countriesCS02.1 Development of a (...) state-run “cyber education program of research ethics” in KoreaEun Jung Ko, Jin Sun Kwak, TaeHwan Gwon, Ji Min Lee, Min-Ho LeeCS02.3 Responsible conduct of research teachers’ training courses in Germany: keeping on drilling through hard boards for more RCR teachersHelga Nolte, Michael Gommel, Gerlinde Sponholz3. The research environment and policies to encourage research integrityCS03.1 Challenges and best practices in research integrity: bridging the gap between policy and practiceYordanka Krastev, Yamini Sandiran, Julia Connell, Nicky SolomonCS03.2 The Slovenian initiative for better research: from national activities to global reflectionsUrsa Opara Krasovec, Renata SribarCS03.3 Organizational climate assessments to support research integrity: background of the Survey of Organizational Research Climate and the experience with its use at Michigan State UniversityBrian C. Martinson, Carol R. Thrush, C.K. Gunsalus4. Expressions of concern and retractionsCS04.1 Proposed guidelines for retraction notices and their disseminationIvan Oransky, Adam MarcusCS04.2 Watching retractions: analysis of process and practice, with data from the Wiley retraction archivesChris Graf, Verity Warne, Edward Wates, Sue JoshuaCS04.3 An exploratory content analysis of Expressions of ConcernMiguel RoigCS04.4 An ethics researcher in the retraction processMichael Mumford5. Funders' role in fostering research integrityCS05.1 The Fonds de Recherche du Québec’s institutional rules on the responsible conduct of research: introspection in the funding agency activitiesMylène Deschênes, Catherine Olivier, Raphaëlle Dupras-LeducCS05.2 U.S. Public Health Service funds in an international setting: research integrity and complianceZoë Hammatt, Raju Tamot, Robin Parker, Cynthia Ricard, Loc Nguyen-Khoa, Sandra TitusCS05.3 Analyzing decision making of funders of public research as a case of information asymmetryKarsten Klint JensenCS05.4 Research integrity management: Empirical investigation of academia versus industrySimon Godecharle, Ben Nemery, Kris Dierickx5A: Education: For whom, how, and what?CS05A.1 Research integrity or responsible conduct of research? What do we aim for?Mickey Gjerris, Maud Marion Laird Eriksen, Jeppe Berggren HoejCS05A.2 Teaching and learning about RCR at the same time: a report on Epigeum’s RCR poll questions and other assessment activitiesNicholas H. SteneckCS05A.4 Minding the gap in research ethics education: strategies to assess and improve research competencies in community health workers/promoteresCamille Nebeker, Michael Kalichman, Elizabeth Mejia Booen, Blanca Azucena Pacheco, Rebeca Espinosa Giacinto, Sheila Castaneda6. Country examples of research reward systems and integrityCS06.1 Improving systems to promote responsible research in the Chinese Academy of SciencesDing Li, Qiong Chen, Guoli Zhu, Zhonghe SunCS06.4 Exploring the perception of research integrity amongst public health researchers in IndiaParthasarathi Ganguly, Barna Ganguly7. Education and guidance on research integrity: country differencesCS07.1 From integrity to unity: how research integrity guidance differs across universities in Europe.Noémie Aubert Bonn, Kris Dierickx, Simon GodecharleCS07.2 Can education and training develop research integrity? The spirit of the UNESCO 1974 recommendation and its updatingDaniele Bourcier, Jacques Bordé, Michèle LeducCS07.3 The education and implementation mechanisms of research ethics in Taiwan's higher education: an experience in Chinese web-based curriculum development for responsible conduct of researchChien Chou, Sophia Jui-An PanCS07.4 Educating principal investigators in Swiss research institutions: present and future perspectivesLouis Xaver Tiefenauer8. Measuring and rewarding research productivityCS08.1 Altimpact: how research integrity underpins research impactDaniel Barr, Paul TaylorCS08.2 Publication incentives: just reward or misdirection of funds?Lyn Margaret HornCS08.3 Why Socrates never charged a fee: factors contributing to challenges for research integrity and publication ethicsDeborah Poff9. Plagiarism and falsification: Behaviour and detectionCS09.1 Personality traits predict attitude towards plagiarism of self and others in biomedicine: plagiarism, yes we can?Martina Mavrinac, Gordana Brumini, Mladen PetrovečkiCS09.2 Investigating the concept of and attitudes toward plagiarism for science teachers in Brazil: any challenges for research integrity and policy?Christiane Coelho Santos, Sonia VasconcelosCS09.3 What have we learnt?: The CrossCheck Service from CrossRefRachael LammeyCS09.4 High p-values as a sign of data fabrication/falsificationChris Hartgerink, Marcel van Assen, Jelte Wicherts10. Codes for research integrity and collaborationsCS10.1 Research integrity in cross-border cooperation: a Nordic exampleHanne Silje HaugeCS10.3 Research integrity, research misconduct, and the National Science Foundation's requirement for the responsible conduct of researchAaron MankaCS10.4 A code of conduct for international scientific cooperation: human rights and research integrity in scientific collaborations with international academic and industry partnersRaffael Iturrizaga11. Countries' efforts to establish mentoring and networksCS11.1 ENRIO : a network facilitating common approaches on research integrity in EuropeNicole FoegerCS11.2 Helping junior investigators develop in a resource-limited country: a mentoring program in PeruA. Roxana Lescano, Claudio Lanata, Gissella Vasquez, Leguia Mariana, Marita Silva, Mathew Kasper, Claudia Montero, Daniel Bausch, Andres G LescanoCS11.3 Netherlands Research Integrity Network: the first six monthsFenneke Blom, Lex BouterCS11.4 A South African framework for research ethics and integrity for researchers, postgraduate students, research managers and administratorsLaetus OK Lategan12. Training and education in research integrity at an early career stageCS12.1 Research integrity in curricula for medical studentsGustavo Fitas ManaiaCS12.2 Team-based learning for training in the responsible conduct of research supports ethical decision-makingWayne T. McCormack, William L. Allen, Shane Connelly, Joshua Crites, Jeffrey Engler, Victoria Freedman, Cynthia W. Garvan, Paul Haidet, Joel Hockensmith, William McElroy, Erik Sander, Rebecca Volpe, Michael F. VerderameCS12.4 Research integrity and career prospects of junior researchersSnezana Krstic13. Systems and research environments in institutionsCS13.1 Implementing systems in research institutions to improve quality and reduce riskLouise HandyCS13.2 Creating an institutional environment that supports research integrityDebra Schaller-DemersCS13.3 Ethics and Integrity Development Grants: a mechanism to foster cultures of ethics and integrityPaul Taylor, Daniel BarrCS13.4 A culture of integrity at KU LeuvenInge Lerouge, Gerard Cielen, Liliane Schoofs14. Peer review and its role in research integrityCS14.1 Peer review research across disciplines: transdomain action in the European Cooperation in Science and Technology “New Frontiers of Peer Review ”Ana Marusic, Flaminio SquazzoniCS14.2 Using blinding to reduce bias in peer reviewDavid VauxCS14.3 How to intensify the role of reviewers to promote research integrityKhalid Al-Wazzan, Ibrahim AlorainyCS14.4 Credit where credit’s due: professionalizing and rewarding the role of peer reviewerChris Graf, Verity Warne15. Research ethics and oversight for research integrity: Does it work?CS15.1 The psychology of decision-making in research ethics governance structures: a theory of bounded rationalityNolan O'Brien, Suzanne Guerin, Philip DoddCS15.2 Investigator irregularities: iniquity, ignorance or incompetence?Frank Wells, Catherine BlewettCS15.3 Academic plagiarismFredric M. Litto16. Research integrity in EuropeCS16.1 Whose responsibility is it anyway?: A comparative analysis of core concepts and practice at European research-intensive universities to identify and develop good practices in research integrityItziar De Lecuona, Erika Löfstrom, Katrien MaesCS16.2 Research integrity guidance in European research universitiesKris Dierickx, Noémie Bonn, Simon GodecharleCS16.3 Research Integrity: processes and initiatives in Science Europe member organisationsTony Peatfield, Olivier Boehme, Science Europe Working Group on Research IntegrityCS16.4 Promoting research integrity in Italy: the experience of the Research Ethics and Bioethics Advisory Committee of the Consiglio Nazionale delle Ricerche Cinzia Caporale, Daniele Fanelli17. Training programs for research integrity at different levels of experience and seniorityCS17.1 Meaningful ways to incorporate research integrity and the responsible conduct of research into undergraduate, graduate, postdoctoral and faculty training programsJohn Carfora, Eric Strauss, William LynnCS17.2 "Recognize, respond, champion": Developing a one-day interactive workshop to increase confidence in research integrity issuesDieter De Bruyn, Bracke Nele, Katrien De Gelder, Stefanie Van der BurghtCS17.4 “Train the trainer” on cultural challenges imposed by international research integrity conversations: lessons from a projectJosé Roberto Lapa e Silva, Sonia M. R. Vasconcelos18. Research and societal responsibilityCS18.1 Promoting the societal responsibility of research as an integral part of research integrityHelene IngierdCS18.2 Social responsibility as an ethical imperative for scientists: research, education and service to societyMark FrankelCS18.3 The intertwined nature of social responsibility and hope in scienceDaniel Vasgird, Stephanie BirdCS18.4 Common barriers that impede our ability to create a culture of trustworthiness in the research communityMark Yarborough19. Publication ethicsCS19.1 The authors' forum: A proposed tool to improve practices of journal editors and promote a responsible research environmentIbrahim Alorainy, Khalid Al-WazzanCS19.2 Quantifying research integrity and its impact with text analyticsHarold GarnerCS19.3 A closer look at authorship and publication ethics of multi- and interdisciplinary teamsLisa Campo-Engelstein, Zubin Master, Elise Smith, David Resnik, Bryn Williams-JonesCS19.4 Invisibility of duplicate publications in biomedicineMario Malicki, Ana Utrobicic, Ana Marusic20. The causes of bad and wasteful research: What can we do?CS20.1 From countries to individuals: unravelling the causes of bias and misconduct with multilevel meta-meta-analysisDaniele Fanelli, John PA IoannidisCS20.2 Reducing research waste by integrating systems of oversight and regulationGerben ter Riet, Tom Walley, Lex Marius BouterCS20.3 What are the determinants of selective reporting?: The example of palliative care for non-cancer conditionsJenny van der Steen, Lex BouterCS20.4 Perceptions of plagiarism, self-plagiarism and redundancy in research: preliminary results from a national survey of Brazilian PhDsSonia Vasconcelos, Martha Sorenson, Francisco Prosdocimi, Hatisaburo Masuda, Edson Watanabe, José Carlos Pinto, Marisa Palácios, José Lapa e Silva, Jacqueline Leta, Adalberto Vieyra, André Pinto, Mauricio Sant’Ana, Rosemary Shinkai21. Are there country-specific elements of misconduct?CS21.1 The battle with plagiarism in Russian science: latest developmentsBoris YudinCS21.2 Researchers between ethics and misconduct: A French survey on social representations of misconduct and ethical standards within the scientific communityEtienne Vergès, Anne-Sophie Brun-Wauthier, Géraldine VialCS21.3 Experience from different ways of dealing with research misconduct and promoting research integrity in some Nordic countriesTorkild VintherCS21.4 Are there specifics in German research misconduct and the ways to cope with it?Volker Bähr, Charité22. Research integrity teaching programmes and their challengesCS22.1 Faculty mentors and research integrityMichael Kalichman, Dena PlemmonsCS22.2 Training the next generation of scientists to use principles of research quality assurance to improve data integrity and reliabilityRebecca Lynn Davies, Katrina LaubeCS22.3 Fostering research integrity in a culturally-diverse environmentCynthia Scheopner, John GallandCS22.4 Towards a standard retraction formHervé Maisonneuve, Evelyne Decullier23. Commercial research and integrityCS23.1 The will to commercialize: matters of concern in the cultural economy of return-on-investment researchBrian NobleCS23.2 Quality in drug discovery data reporting: a mission impossible?Anja Gilis, David J. Gallacher, Tom Lavrijssen, Malwitz David, Malini Dasgupta, Hans MolsCS23.3 Instituting a research integrity policy in the context of semi-private-sector funding: an example in the field of occupational health and safetyPaul-Emile Boileau24. The interface of publication ethics and institutional policiesCS24.1 The open access ethical paradox in an open government effortTony SavardCS24.2 How journals and institutions can work together to promote responsible conductEric MahCS24.3 Improving cooperation between journals and research institutions in research integrity casesElizabeth Wager, Sabine Kleinert25. Reproducibility of research and retractionsCS25.1 Promoting transparency in publications to reduce irreproducibilityVeronique Kiermer, Andrew Hufton, Melanie ClyneCS25.2 Retraction notices issued for publications by Latin American authors: what lessons can we learn?Sonia Vasconcelos, Renan Moritz Almeida, Aldo Fontes-Pereira, Fernanda Catelani, Karina RochaCS25.3 A preliminary report of the findings from the Reproducibility Project: Cancer biologyElizabeth Iorns, William Gunn26. Research integrity and specific country initiativesCS26.1 Promoting research integrity at CNRS, FranceMichèle Leduc, Lucienne LetellierCS26.2 In pursuit of compliance: is the tail wagging the dog?Cornelia MalherbeCS26.3 Newly established research integrity policies and practices: oversight systems of Japanese research universitiesTakehito Kamata27. Responsible conduct of research and country guidelinesCS27.1 Incentives or guidelines? Promoting responsible research communication through economic incentives or ethical guidelines?Vidar EnebakkCS27.3 Responsible conduct of research: a view from CanadaLynn PenrodCS27.4 The Danish Code of Conduct for Research Integrity: a national initiative to promote research integrity in DenmarkThomas Nørgaard, Charlotte Elverdam28. Behaviour, trust and honestyCS28.1 The reasons behind non-ethical behaviour in academiaYves FassinCS28.2 The psychological profile of the dishonest scholarCynthia FekkenCS28.3 Considering the implications of Dan Ariely’s keynote speech at the 3rd World Conference on Research Integrity in MontréalJamal Adam, Melissa S. AndersonCS28.4 Two large surveys on psychologists’ views on peer review and replicationJelte WichertsBrett Buttliere29. Reporting and publication bias and how to overcome itCS29.1 Data sharing: Experience at two open-access general medical journalsTrish GrovesCS29.2 Overcoming publication bias and selective reporting: completing the published recordDaniel ShanahanCS29.3 The EQUATOR Network: promoting responsible reporting of health research studiesIveta Simera, Shona Kirtley, Eleana Villanueva, Caroline Struthers, Angela MacCarthy, Douglas Altman30. The research environment and its implications for integrityCS30.1 Ranking of scientists: the Russian experienceElena GrebenshchikovaCS30.4 From cradle to grave: research integrity, research misconduct and cultural shiftsBronwyn Greene, Ted RohrPARTNER SYMPOSIAPartner Symposium AOrganized by EQUATOR Network, Enhancing the Quality and Transparency of Health ResearchP1 Can we trust the medical research literature?: Poor reporting and its consequencesIveta SimeraP2 What can BioMed Central do to improve published research?Daniel Shanahan, Stephanie HarrimanP3 What can a "traditional" journal do to improve published research?Trish GrovesP4 Promoting good reporting practice for reliable and usable research papers: EQUATOR Network, reporting guidelines and other initiativesCaroline StruthersPartner Symposium COrganized by ENRIO, the European Network of Research Integrity OfficersP5 Transparency and independence in research integrity investigations in EuropeKrista Varantola, Helga Nolte, Ursa Opara, Torkild Vinther, Elizabeth Wager, Thomas NørgaardPartner Symposium DOrganized by IEEE, the Institute of Electrical and Electronics EngineersRe-educating our author community: IEEE's approach to bibliometric manipulation, plagiarism, and other inappropriate practicesP6 Dealing with plagiarism in the connected world: An Institute of Electrical and Electronics Engineers perspectiveJon RokneP7 Should evaluation of raises, promotion, and research proposals be tied to bibliometric indictors? What the Institute of Electrical and Electronics Engineers is doing to answer this questionGianluca SettiP8 Recommended practices to ensure conference content qualityGordon MacPhersonPartner Symposium EOrganized by the Committee on Freedom and Responsibility in the Conduct of Science of ICSU, the International Council for ScienceResearch assessment and quality in science: perspectives from international science and policy organisationsP9 Challenges for science and the problems of assessing researchEllen HazelkornP10 Research assessment and science policy developmentCarthage SmithP11 Research integrity in South Africa: the value of procedures and processes to global positioningRobert H. McLaughlinP12 Rewards, careers and integrity: perspectives of young scientists from around the worldTatiana Duque MartinsPartner Symposium FOrganized by the Online Resource Center for Ethics Education in Engineering and Science / Center for Engineering, Ethics, and Society of the National Academy of EngineeringP13 Research misconduct: conceptions and policy solutionsTetsuya Tanimoto, Nicholas Steneck, Daniele Fanelli, Ragnvald Kalleberg, Tajammul HusseinPartner Symposium HOrganized by ORI, the Office of Research Integrity; Universitas 21; and the Asia Pacific Research Integrity NetworkP14 International integrity networks: working together to ensure research integrityPing Sun, Ovid Tzeng, Krista Varantola, Susan ZimmermanPartner Symposium IOrganized by COPE, the Committee on Publication EthicsPublication without borders: Ethical challenges in a globalized worldP15 Authorship: credit and responsibility, including issues in large and interdisciplinary studiesRosemary ShinkaiPartner Symposium JOrganized by CITI, the Cooperative Institutional Training InitiativeExperiences on research integrity educational programs in Colombia, Costa Rica and PeruP16 Experiences in PeruRoxana LescanoP17 Experiences in Costa RicaElizabeth HeitmanP18 Experiences in ColumbiaMaria Andrea Rocio del Pilar Contreras NietoPoster Session B: Education, training, promotion and policyPT.01 The missing role of journal editors in promoting responsible researchIbrahim Alorainy, Khalid Al-WazzanPT.02 Honorary authorship in Taiwan: why and who should be in charge?Chien Chou, Sophia Jui-An PanPT.03 Authorship and citation manipulation in academic researchEric Fong, Al WilhitePT.04 Open peer review of research submission at medical journals: experience at BMJ Open and The BMJTrish GrovesPT.05 Exercising authorship: claiming rewards, practicing integrityDésirée Motta-RothPT.07 Medical scientists' views on publication culture: a focus group studyJoeri Tijdink, Yvo SmuldersPoster Session B: Education, training, promotion and policyPT.09 Ethical challenges in post-graduate supervisionLaetus OK LateganPT.10 The effects of viable ethics instruction on international studentsMichael Mumford, Logan Steele, Logan Watts, James Johnson, Shane Connelly, Lee WilliamsPT.11 Does language reflect the quality of research?Gerben ter Riet, Sufia Amini, Lotty Hooft, Halil KilicogluPT.12 Integrity complaints as a strategic tool in policy decision conflictsJanneke van Seters, Herman Eijsackers, Fons Voragen, Akke van der Zijpp and Frans BromPoster Session C: Ethics and integrity intersectionsPT.14 Regulations of informed consent: university-supported research processes and pitfalls in implementationBadaruddin Abbasi, Naif Nasser AlmasoudPT.15 A review of equipoise as a requirement in clinical trialsAdri LabuschagnePT.16 The Research Ethics Library: online resource for research ethics educationJohanne Severinsen, Espen EnghPT.17 Research integrity: the view from King Abdulaziz City for Science and TechnologyDaham Ismail AlaniPT. 18 Meeting global challenges in high-impact publications and research integrity: the case of the Malaysian Palm Oil BoardHJ. Kamaruzaman JusoffPT.19 University faculty perceptions of research practices and misconductAnita Gordon, Helen C. HartonPoster Session D: International perspectivesPT.21 The Commission for Scientific Integrity as a response to research fraudDieter De Bruyn, Stefanie Van der BurghtPT. 22 Are notions of the responsible conduct of research associated with compliance with requirements for research on humans in different disciplinary traditions in Brazil?Karina de Albuquerque Rocha, Sonia Maria Ramos de VasconcelosPT.23 Creating an environment that promotes research integrity: an institutional model of Malawi Liverpool Welcome TrustLimbanazo MatandikaPT.24 How do science policies in Brazil influence user-engaged ecological research?Aline Carolina de Oliveira Machado Prata, Mark William NeffPoster Session E: Perspectives on misconductPT.26 What “causes” scientific misconduct?: Testing major hypotheses by comparing corrected and retracted papersDaniele Fanelli, Rodrigo Costas, Vincent LarivièrePT.27 Perception of academic plagiarism among dentistry studentsDouglas Leonardo Gomes Filho, Diego Oliveira GuedesPT. 28 a few bad apples?: Prevalence, patterns and attitudes towards scientific misconduct among doctoral students at a German university hospitalVolker Bähr, Niklas Keller, Markus Feufel, Nikolas OffenhauserPT. 29 Analysis of retraction notices published by BioMed CentralMaria K. Kowalczuk, Elizabeth C. MoylanPT.31 "He did it" doesn't work: data security, incidents and partnersKatie SpeanburgPoster Session F: Views from the disciplinesPT.32 Robust procedures: a key to generating quality results in drug discoveryMalini Dasgupta, Mariusz Lubomirski, Tom Lavrijssen, David Malwitz, David Gallacher, Anja GillisPT.33 Health promotion: criteria for the design and the integrity of a research projectMaria Betânia de Freitas Marques, Laressa Lima Amâncio, Raphaela Dias Fernandes, Oliveira Patrocínio, and Cláudia Maria Correia Borges RechPT.34 Integrity of academic work from the perspective of students graduating in pharmacy: a brief research studyMaria Betânia de Freitas Marques, Cláudia Maria Correia Borges Rech, Adriana Nascimento SousaPT.35 Research integrity promotion in the Epidemiology and Health Services, the journal of the Brazilian Unified Health SystemLeila Posenato GarciaPT.36 When are clinical trials registered? An analysis of prospective versus retrospective registration of clinical trials published in the BioMed Central series, UKStephanie Harriman, Jigisha PatelPT.37 Maximizing welfare while promoting innovation in drug developmentFarida LadaOther posters that will be displayed but not presented orally:PT.38 Geoethics and the debate on research integrity in geosciencesGiuseppe Di Capua, Silvia PeppoloniPT.39 Introducing the Professionalism and Integrity in Research Program James M. DuBois, John Chibnall, Jillon Van der WallPT.40 Validation of the professional decision-making in research measureJames M. DuBois, John Chibnall, Jillon Van der Wall, Raymond TaitPT.41 General guidelines for research ethicsJacob HolenPT. 42 A national forum for research ethicsAdele Flakke Johannessen, Torunn EllefsenPT.43 Evaluation of integrity in coursework: an approach from the perspective of the higher education professorClaudia Rech, Adriana Sousa, Maria Betânia de Freitas MarquesPT.44 Principles of geoethics and research integrity applied to the European Multidisciplinary Seafloor and Water Column Observatory, a large-scale European environmental research infrastructureSilvia Peppoloni, Giuseppe Di Capua, Laura BeranzoliF1 Focus track on improving research systems: the role of fundersPaulo S.L. Beirão, Susan ZimmermanF2 Focus track on improving research systems: the role of countriesSabine Kleinert, Ana MarusicF3 Focus track on improving research systems: the role of institutionsMelissa S. Anderson, Lex Bouter. (shrink)

Background There is a dearth of information on the prevalence of scientific misconduct from Nigeria. Objectives This study aimed at determining the prevalence of scientific misconduct in a group of researchers in Nigeria. Factors associated with the prevalence were ascertained. Method A descriptive study of researchers who attended a scientific conference in 2010 was conducted using the adapted Scientific Misconduct Questionnaire-Revised (SMQ-R). Results Ninety-one researchers (68.9%) admitted having committed at least one of the eight listed forms of scientific misconduct. Disagreement (...) about authorship was the most common form of misconduct committed (36.4%) while plagiarism was the least (9.2%). About 42% of researchers had committed falsification of data or plagiarism. Analysis of specific acts of misconduct showed that committing plagiarism was inversely associated with years in research (Fisher exact p-value = 0.02); falsifying data was related to perceived low effectiveness of the institution's rules and procedures for reducing scientific misconduct (X2 = 6.44, p-value = 0.01); and succumbing to pressure from study sponsor to engage in unethical practice was related to sex of researcher (Fisher exact p-value = 0.02). Conclusions The emergent data from this study is a cause for serious concern and calls for prompt intervention. The best response to reducing scientific misconduct will proceed from measures that contain both elements of prevention and enforcement. Training on research ethics has to be integrated into the curriculum of undergraduate and postgraduate students while provision should be made for in-service training of researchers. Penalties against acts of scientific misconduct should be enforced at institutional and national levels. (shrink)

This paper offers a novel, qualitative approach to evaluating the outcomes of integrating humanities and ethics into a newly revised pre-clerkship medical education curriculum. The authors set out to evaluate medical students’ perceptions, learning outcomes, and growth in identity development. Led by a team of interdisciplinary scholars, this qualitative project examines multiple sources of student experience and perception data, including student essays, end-of-year surveys, and semi-structured interviews with students. Data were analyzed using deductive and inductive processes to identify (...) key categories and recurring themes. Results suggest that students not only engaged with the curricular content and met the stated learning objectives but also acknowledged their experience in the humanities and ethics curriculum as an opportunity to reflect, expand their perceptions of medicine (and what it means to be “in” medicine), connect with their classmates, and further cultivate their personal and professional identities. Results of this qualitative study show how and in what ways the ethics and humanities curriculum motivates students past surface-level memorization of factual knowledge and encourages thoughtful analysis and evaluation about how the course material relates to and influences their thinking and how they see themselves as future doctors. The comprehensive qualitative approach reflects a holistic model for evaluating the integration of humanities and ethics into the pre-clerkship medical education curriculum. Future research should examine if this approach provides a protective factor against the demonstrated ethical erosion and empathy decrease during clinical training. (shrink)

Self-reported data are regarded by medical researchers as invalid and less reliable than data produced by experts in clinical settings, yet individuals can increasingly contribute personal information to medical research through a variety of online platforms. In this article we examine this ‘participatory turn’ in healthcare research, which claims to challenge conventional delineations of what is valid and reliable for medical practice, by using aggregated self-reported experiences from patients and ‘pre-patients’ via the internet. We focus on (...) 23andMe, a genetic testing company that collects genetic material and self-reported information about disease from its customers. Integral to this research method are relations of trust embedded in the information exchange: trust in customers’ data; trust between researchers/company and research subjects; trust in genetics; trust in the machine. We examine the performative dimension of these trust relations, drawing on Shapin and Schaffer’s discussion of how material, literary and social technologies are used in research in order to establish trust. Our scepticism of the company’s motives for building trust with the self-reporting consumer forces us to consider our own motives. How does the use of customer data for research purposes by 23andMe differ from the research practices of social scientists, especially those who also study digital traces? By interrogating the use of self-reported data in the genetic testing context, we examine our ethical responsibilities in studying the digital selves of others using internet methods. How researchers trust data, how participants trust researchers, and how technologies are trusted are all important considerations in studying the social life of digital data. (shrink)

Assessment of risk is one of the key issues in the field of responsible conduct of research which covers discourses of research ethics and research integrity. The principle of minimizing risks and balancing of risks and benefits is one of the main requirements of research ethics. In addition, the content of informed consent that is another fundamental principle of research ethics derives from the assessment of risks and benefits related to a particular research (...) project. Risk assessment also plays a crucial role in methodological design of the research project. This is an important point where research ethics and research integrity discourses overlap. Firstly, because the choice of a control group (e.g., placebo control) is a key ethical issue related to the protection of the research subjects’ interests. Secondly, because the quality of the research data, that is one of the key elements of research integrity, is closely connected to the choice of research methodology as well. The problem of biased interpretation or manipulation of risk related features of biomedical research should also be taken into account. Despite the importance of the concept of risk to the field of biomedical research, its relevance has not yet attracted a sufficient attention in the responsible conduct of research debate. (shrink)

Ethicists differ considerably in their reasons for using empirical data. This paper presents a brief overview of four traditional approaches to the use of empirical data: “the prescriptive applied ethicists,” “the theorists,” “the critical applied ethicists,” and “the particularists.” The main aim of this paper is to introduce a fifth approach of more recent date (i.e. “integrated empirical ethics”) and to offer some methodological directives for research in integrated empirical ethics. All five approaches are presented in a (...) table for heuristic purposes. The table consists of eight columns: “view on distinction descriptive-prescriptive sciences,” “location of moral authority,” “central goal(s),” “types of normativity,” “use of empirical data,” “method,” “interaction empirical data and moral theory,” and “cooperation with descriptive sciences.” Ethicists can use the table in order to identify their own approach. Reflection on these issues prior to starting research in empirical ethics should lead to harmonization of the different scientific disciplines and effective planning of the final research design. Integrated empirical ethics (IEE) refers to studies in which ethicists and descriptive scientists cooperate together continuously and intensively. Both disciplines try to integrate moral theory and empirical data in order to reach a normative conclusion with respect to a specific social practice. IEE is not wholly prescriptive or wholly descriptive since IEE assumes an interdepence between facts and values and between the empirical and the normative. The paper ends with three suggestions for consideration on some of the future challenges of integrated empirical ethics. (shrink)