Nowadays, protecting trust in social sciences also means engaging in open community dialogue, which helps to safeguard robustness and improve efficiency of research methods. The combination of open data, open review and open dialogue may sound simple but implementation in the real world will not be straightforward. However, in view of Begley and Ellis’s (2012) statement that, “the scientific process demands the highest standards of quality, ethics and rigour,” they are worth implementing. More importantly, they (...) are feasible to work on and likely will help to restore plausibility to social sciences research. Therefore, I feel it likely that the triplet of open data, open review and open dialogue will gradually emerge to become policy requirements regardless of the research funding source. (shrink)

A growing awareness of the lack of reproducibility has undermined society’s trust and esteem in social sciences. In some cases, well-known results have been fabricated or the underlying data have turned out to have weak technical foundations.

This paper argues for subsuming the question of open data within a larger question of information justice, with the immediate aim being to establish the need for rather than the principles of such a theory. I show that there are several problems of justice that emerge as a consequence of opening data to full public accessibility, and are generally a consequence of the failure of the open data movement to understand the constructed nature of (...) class='Hi'>data. I examine three such problems: the embedding of social privilege in datasets as the data is constructed, the differential capabilities of data users, and the norms that data systems impose through their function as disciplinary systems. In each case I show that open data has the quite real potential to exacerbate rather than alleviate injustices. This necessitates a theory of information justice. I briefly suggest two complementary directions in which such a theory might be developed: one defining a set of moral inquiries that can be used to evaluate the justness of data practices, and another exploring the practices and structures that a social movement promoting information justice might pursue. (shrink)

Dans les cinquante dernières années, les progrès de l’informatisation ont renforcé l’accessibilité de la jurisprudence via des bases de données juridiques, maintenant concurrencées par des plates-formes de diffusion du droit sur internet. La loi pour une République numérique du 7 octobre 2016 a prévu la généralisation de la diffusion des décisions des juges du fond au titre du processus d’ open data. Toutefois les obstacles sont nombreux : conceptuels, techniques, matériels. D’abord, un glissement s’est opéré d’une problématique d’anonymisation (...) des décisions juridictionnelles vers celle de leur pseudonymisation. Ensuite, la pseudonymisation pourrait constituer un frein au mouvement d’ open data judiciaire, du fait de la lourdeur technique nécessaire pour la réaliser. Juridiquement, sa mise en œuvre s’avère de surcroît délicate. Le renvoi législatif à la protection de la vie privée doit se combiner avec l’application du droit des données personnelles, au titre duquel il faut limiter le risque de réidentification des justiciables. Enfin, matériellement le curseur de la pseudonymisation est malaisé à placer. Quelles indications convient-il de masquer : celles relatives aux parties, ou plus largement aux personnes citées et professionnels du droit impliqués? (shrink)

The movements by national governments, funding agencies, universities, and research communities toward “open data” face many difficult challenges. In high-level visions of open data, researchers’ data and metadata practices are expected to be robust and structured. The integration of the internet into scientific institutions amplifies these expectations. When examined critically, however, the data and metadata practices of scholarly researchers often appear incomplete or deficient. The concepts of “accountability” and “transparency” provide insight in understanding these (...) perceived gaps. Researchers’ primary accountabilities are related to meeting the expectations of research competency, not to external standards of data deposition or metadata creation. Likewise, making data open in a transparent way can involve a significant investment of time and resources with no obvious benefits. This paper uses differing notions of accountability and transparency to conceptualize “open data” as the result of ongoing achievements, not one-time acts. (shrink)

Openness and transparency are becoming hallmarks of responsible data practice in science and governance. Concerns about data falsification, erroneous analysis, and misleading presentation of research results have recently strengthened the call for new procedures that ensure public accountability for data-driven decisions. Though we generally count ourselves in favor of increased transparency in data practice, this Commentary highlights a caveat. We suggest that legislative efforts that invoke the language of data transparency can sometimes function as “Trojan (...) Horses” through which other political goals are pursued. Framing these maneuvers in the language of transparency can be strategic, because approaches that emphasize open access to data carry tremendous appeal, particularly in current political and technological contexts. We illustrate our argument through two examples of pro-transparency policy efforts, one historical and one current: industry-backed “sound science” initiatives in the 1990s, and contemporary legislative efforts to open environmental data to public inspection. Rules that exist mainly to impede science-based policy processes weaponize the concept of data transparency. The discussion illustrates that, much as Big Data itself requires critical assessment, the processes and principles that attend it—like transparency—also carry political valence, and, as such, warrant careful analysis. (shrink)

Data and ideas are the capital of research productivity. Is it ethical to preempt the publication of another researcher’s unpublished data or preliminary analysis, perhaps without citation? The long-established answer is ‘certainly not’—but recent ‘open data’ use suggests otherwise. A research competition was held using data from The Systolic Blood Pressure Intervention Trial. This SPRINT Data Analysis Challenge created a novel environment for using open data as data became open early. (...) This allowed third-party researchers the opportunity to assess some of the trial’s outcomes before trialists. Could this infringe on trialists’ right to analyse their data? Simultaneously, trialists had access to analyses from submissions to the competition that were not formally ‘published’ with a typical author credit or citation. Therefore, trialists had the opportunity to view the competition submissions and published on those ideas first without a typical way to cite the source of that idea. Could this infringe on researchers’ right to be credited for their ideas? This is not intended as a criticism of open data, the SPRINT Data Analysis Challenge, or similar systems/ventures, but is an effort to objectively note what may be remediable flaws in the worthwhile, growing and dynamic uses of open data. We offer preliminary analytics to shed more light and provide fodder for additional discussion. (shrink)

Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which (...) various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective. (shrink)

This short commentary reflects on policy making for open data. The articles in this special issue all raise interesting challenges and questions for research policy, broadly defined, including how to stimulate researchers to make data open in the first place, how to reuse data sensibly, and how to ensure data are appropriately stored and made accessible for future users. This commentary reflects on the author’s own experience of taking part in an international policy forum (...) that was tasked with preparing a report about the importance of making research data open. The author describes how she attempted to ensure insights from science and technology studies—made by contributors to this special issue and many others in the field—were incorporated in the final report. She also describes how technologically determinist arguments were invoked to close down discussions about the political dimensions of open access to research data. (shrink)

This article shows how activists in the open data movement re-articulate notions of democracy, participation, and journalism by applying practices and values from open source culture to the creation and use of data. Focusing on the Open Knowledge Foundation Germany and drawing from a combination of interviews and content analysis, it argues that this process leads activists to develop new rationalities around datafication that can support the agency of datafied publics. Three modulations of open (...) source are identified: First, by regarding data as a prerequisite for generating knowledge, activists transform the sharing of source code to include the sharing of raw data. Sharing raw data should break the interpretative monopoly of governments and would allow people to make their own interpretation of data about public issues. Second, activists connect this idea to an open and flexible form of representative democracy by applying the open source model of participation to political participation. Third, activists acknowledge that intermediaries are necessary to make raw data accessible to the public. This leads them to an interest in transforming journalism to become an intermediary in this sense. At the same time, they try to act as intermediaries themselves and develop civic technologies to put their ideas into practice. The article concludes with suggesting that the practices and ideas of open data activists are relevant because they illustrate the connection between datafication and open source culture and help to understand how datafication might support the agency of publics and actors outside big government and big business. (shrink)

Biological ontologies are used to organize, curate, and interpret the vast quantities of data arising from biological experiments. While this works well when using a single ontology, integrating multiple ontologies can be problematic, as they are developed independently, which can lead to incompatibilities. The Open Biological and Biomedical Ontologies Foundry was created to address this by facilitating the development, harmonization, application, and sharing of ontologies, guided by a set of overarching principles. One challenge in reaching these goals was (...) that the OBO principles were not originally encoded in a precise fashion, and interpretation was subjective. Here we show how we have addressed this by formally encoding the OBO principles as operational rules and implementing a suite of automated validation checks and a dashboard for objectively evaluating each ontology’s compliance with each principle. This entailed a substantial effort to curate metadata across all ontologies and to coordinate with individual stakeholders. We have applied these checks across the full OBO suite of ontologies, revealing areas where individual ontologies require changes to conform to our principles. Our work demonstrates how a sizable federated community can be organized and evaluated on objective criteria that help improve overall quality and interoperability, which is vital for the sustenance of the OBO project and towards the overall goals of making data FAIR. Competing Interest StatementThe authors have declared no competing interest. (shrink)

The inclusion of Semantic Web technologies into the lexicographic ‘Middle High German Conceptual Database’ (MHDBDB) is a challenge for this long-term project. Since the 1970 s the Middle High German Concept Database has aimed to provide an onomasiological dictionary for Middle High German. The latest technological revision dates back to 1992, so there is a growing demand for more contemporary infrastructure and usability. The data models themselves, as well as the linking of data sets with authority files, need (...) to be modernised to ensure compatibility with the Semantic Web. This paper summarises the current discussion on formats and ontologies for online dictionaries with a focus on Middle High German lexicography. (shrink)

This paper presents an approach for legal compliance checking in the Semantic Web which can be effectively applied for applications in the Linked Open Data environment. It is based on modeling deontic norms in terms of ontology classes and ontology property restrictions. It is also shown how this approach can handle norm defeasibility. Such methodology is implemented by decidable fragments of OWL 2, while legal reasoning is carried out by available decidable reasoners. The approach is generalised by presenting (...) patterns for modeling deontic norms and norms compliance checking. (shrink)

This article describes how the City of Los Angeles is showcasing data-driven services to the public through dynamic visualisations of open data. I frame an analysis of this aspect of datafication in local government through linguistics and cultural theory; drawing on this set of literature I theorise the use of public data as both a performative tool and a performance of data-driven city services. I then discuss examples of interactive maps on the City of Los (...) Angeles’ open data websites, produced by the Bureau of Sanitation, the Controller’s Office, and the Department of Transportation. The article concludes with some general thoughts on how open data maps are a new form of impression management; they set up a relationship in which government and citizens are in alignment, sharing an orientation towards administrative problems that begins at the same point, framed by an administration’s datasets. (shrink)

In 2016, the National Book Council, the ISBN agency for Malta, released its ISBN database online. A few months later, the ISBN database was enhanced with an open-data feature that enables users to download the search results in a single file with read and write access. The database includes all the ISBN data of Malta except for some records and data that were lost during the period before 2013 when paper data storage of ISBN records (...) was the common practice. The implementation of an ISBN electronic database now ensures that no data go missing and facilitates the preservation of metadata. As added value, the open-data system provides access to all of the ISBN records as listed in the database, which means that virtually all of the ISBN data elements can be downloaded from the database. Researchers, publishers, authors, and booksellers all stand to benefit from this open ISBN data system. (shrink)

While open science gains prominence in South Africa with the encouragement of open data sharing for research purposes, there are stricter laws and regulations around privacy – and specifically the use, management and transfer of personal information – to consider. The Protection of Personal Information Act No. 4 of 2013 (POPIA), which came into effect in 2021, established stringent requirements for the processing of personal information and has changed the regulatory landscape for the transfer of personal information (...) across South African borders. At the same time, draft national policies on open science encourage wide accessibility to data and open data sharing in line with international best practice. As a result, the operation of research ethics committees (RECs) in South Africa is affected by the conflicting demands of the shift towards open science on the one hand, and the stricter laws protecting participants’ personal information and the transfer thereof, on the other. This article explores the continuing evolving role of RECs in the era of open data and recommends the development of a data transfer agreement (DTA) for the ethical management of personal health information, considering the challenges that RECs encounter, which centres predominantly on privacy, data sharing and access concerns following advances in genetic and genomic research and biobanking. (shrink)

Government officials claim open data can improve internal and external communication and collaboration. These promises hinge on “data intermediaries”: extra-institutional actors that obtain, use, and translate data for the public. However, we know little about why these individuals might regard open data as a site of civic participation. In response, we draw on Ilana Gershon to conceptualize culturally situated and socially constructed perspectives on data, or “data ideologies.” This study employs mixed methodologies (...) to examine why members of the public hold particular data ideologies and how they vary. In late 2015 the authors engaged the public through a commission in a diverse city of approximately 500,000. Qualitative data was collected from three public focus groups with residents. Simultaneously, we obtained quantitative data from surveys. Participants’ data ideologies varied based on how they perceived data to be useful for collaboration, tasks, and translations. Bucking the “geek” stereotype, only a minority of those surveyed were professional software developers or engineers. Although only a nascent movement, we argue open data intermediaries have important roles to play in a new political landscape. (shrink)

Research, innovation, and progress in the life sciences are increasingly contingent on access to large quantities of data. This is one of the key premises behind the “open science” movement and the global calls for fostering the sharing of personal data, datasets, and research results. This paper reports on the outcomes of discussions by the panel “Open science, data sharing and solidarity: who benefits?” held at the 2021 Biennial conference of the International Society for the (...) History, Philosophy, and Social Studies of Biology, and hosted by Cold Spring Harbor Laboratory. (shrink)

This editorial critically engages with the understanding of openness by attending to how notions of presence and absence come bundled together as part of efforts to make open. This is particularly evident in contemporary discourse around data production, dissemination, and use. We highlight how the preoccupations with making data present can be usefully analyzed and understood by tracing the related concerns around what is missing, unavailable, or invisible, which unvaryingly but often implicitly accompany debates about data (...) and openness. (shrink)

(2013). Open Access Digital Data Sharing: Principles, Policies and Practices☆. Social Epistemology: Vol. 27, No. 1, pp. 47-67. doi: 10.1080/02691728.2012.760663.

Data-intensive science comes with increased risks concerning quality and reliability of data, and while trust in science has traditionally been framed as a matter of scientists being expected to adhere to certain technical and moral norms for behaviour, emerging discourses of open science present openness and transparency as substitutes for established trust mechanisms. By ensuring access to all available information, quality becomes a matter of informed judgement by the users, and trust no longer seems necessary. This strategy (...) does not, however, take into consideration the networks of professionals already enabling data-intensive science by providing high-quality data. In the life sciences, biological data- and knowledge bases managed by expert biocurators have become crucial for data-intensive research. In this paper, I will use the case of biocurators to argue that openness and transparency will not diminish the need for trust in data-intensive science. On the contrary, data-intensive science requires a reconfiguration of existing trust mechanisms in order to include those who take care of and manage scientific data after its production. (shrink)

There is a growing expectation, or even requirement, for researchers to deposit a variety of research data in data repositories as a condition of funding or publication. This expectation recognizes the enormous benefits of data collected and created for research purposes being made available for secondary uses, as open science gains increasing support. This is particularly so in the context of big data, especially where health data is involved. There are, however, also challenges relating (...) to the collection, storage, and re-use of research data. This paper gives a brief overview of the landscape of data sharing via data repositories and discusses some of the key ethical issues raised by the sharing of health-related research data, including expectations of privacy and confidentiality, the transparency of repository governance structures, access restrictions, as well as data ownership and the fair attribution of credit. To consider these issues and the values that are pertinent, the paper applies the deliberative balancing approach articulated in the Ethics Framework for Big Data in Health and Research to the domain of Openness in Big Data and Data Repositories. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. (shrink)

This article focuses on whether a certain form of consent used by biobanks – open consent – is compatible with the Proposed Data Protection Regulation. In an open consent procedure, the biobank requests consent once from the data subject for all future research uses of genetic material and data. However, as biobanks process personal data, they must comply with data protection law. Data protection law is currently undergoing reform. The Proposed Data (...) Protection Regulation is the culmination of this reform and, if voted into law, will constitute a new legal framework for biobanking. The Regulation puts strict conditions on consent – in particular relating to information which must be given to the data subject. It seems clear that open consent cannot meet these requirements. 4 categories of information cannot be provided with adequate specificity: purpose, recipient, possible third country transfers, data collected. However, whilst open consent cannot meet the formal requirements laid out by the Regulation, this is not to say that these requirements are substantially undebateable. Two arguments could be put forward suggesting the applicable consent requirements should be rethought. First, from policy documents regarding the drafting process, it seems that the informational requirements in the Regulation are so strict in order to protect the data subject from risks inherent in the use of the consent mechanism in a certain context – exemplified by the online context. There are substantial differences between this context and the biobanking context. Arguably, a consent transaction in the biobanking does not present the same type of risk to the data subject. If the risks are different, then perhaps there are also grounds for a reconsideration of consent requirements? Second, an argument can be made that the legislator drafted the Regulation based on certain assumptions as to the nature of ‘data’. The authors argue that these assumptions are difficult to apply to genetic data and accordingly a different approach to consent might be preferable. Such an approach might be more open consent friendly. (shrink)

Discipline and Punish analyzes the role of collecting, managing, and operationalizing data in disciplinary institutions. Foucault’s discussion is compared to contemporary forms of surveillance and security practices using algorithmic data processing. The article highlights important similarities and differences regarding the way data processing plays a part in subjectivation. This is also compared to Deleuzian accounts and Foucault’s later discussion in Security, Territory, Population. Using these results, the article argues that the prevailing focus on transparency and accountability in (...) the discussion of algorithmic applications needs to be amended with a perspective on different forms of subjectivity and ensuing power relations. (shrink)

“Big Data” and data analytics affect all of us. Data collection, analysis, and use on a large scale is an important and growing part of commerce, governance, communication, law enforcement, security, finance, medicine, and research. And the theme of this symposium, “Individual and Informational Privacy in the Age of Big Data,” is expansive; we could have long and fruitful discussions about practices, laws, and concerns in any of these domains. But a big part of the audience (...) for this symposium is students and faculty in higher education institutions (HEIs), and the subject of this paper is data analytics in our own backyards. Higher education learning analytics (LA) is something that most of us involved in this symposium are familiar with. Students have encountered LA in their courses, in their interactions with their law school or with their undergraduate institutions, instructors use systems that collect information about their students, and administrators use information to help understand and steer their institutions. More importantly, though, data analytics in higher education is something that those of us participating in the symposium can actually control. Students can put pressure on administrators, and faculty often participate in university governance. Moreover, the systems in place in HEIs are more easily comprehensible to many of us because we work with them on a day-to-day basis. Students use systems as part of their course work, in their residences, in their libraries, and elsewhere. Faculty deploy course management systems (CMS) such as Desire2Learn, Moodle, Blackboard, and Canvas to structure their courses, and administrators use information gleaned from analytics systems to make operational decisions. If we (the participants in the symposium) indeed care about Individual and Informational Privacy in the Age of Big Data, the topic of this paper is a pretty good place to hone our thinking and put into practice our ideas. (shrink)

This article draws on contributions from the Sociology of Science and Technology and Science and Technology Studies, the Sociology of Risk and Uncertainty, and the Sociology of Work, focusing on the transformations of employment regarding expanded automation, robotization and informatization. The new work patterns emerging due to the introduction of software and hardware technologies, which are based on artificial intelligence, algorithms, big data gathering and robotic systems are examined closely. This article attempts to “open the black boxes” of (...) the “black carpet” (robotic sorting system) and examine the reorganization of Greek postal services through the introduction of software and hardware technologies, highlighting a) the high risk of flexible, pluralistic, decentralized (under)employment and aspects of the sub-politics of automation, b) the new forms of work organization and c) aspects of labor precariousness as a result of de-specialization or “flexible expertise” interconnected with new forms of inequalities based on AI, algorithms, big data and robots as reflected in the lived experiences of workers. The above are investigated through primary empirical social research in postal service companies in Greece. (shrink)

Contributing to a rising number of Critical Data Studies which seek to understand and critically reflect on the increasing datafication and digitalisation of governance, this paper focuses on the field of school monitoring, in particular on digital data infrastructures, flows and practices in state education agencies. Our goal is to examine selected features of the enactment of datafication and, hence, to open up what has widely remained a black box for most education researchers. Our findings are based (...) on interviews conducted in three state education agencies in two different national contexts, thus addressing the question of how the datafication and digitalisation of school governance has not only manifested within but also across educational contexts and systems. As our findings illustrate, the implementation of data-based school monitoring and leadership in state education agencies appears as a complex entanglement of very different logics, practices and problems, producing both new capabilities and powers. Nonetheless, by identifying different types of ‘doing data discrepancies’ reported by our interviewees, we suggest an analytical heuristic to better understand at least some features of the multifaceted enactment of data-based, increasingly digitalised governance, within and beyond the field of education. (shrink)

This article examines the legitimacy attached to different types of multi-stakeholder data partnerships occurring in the context of sustainable development. We develop a framework to assess the democratic legitimacy of two types of data partnerships: open data partnerships and closed data partnerships. Our framework specifies criteria for assessing the legitimacy of relevant partnerships with regard to their input legitimacy as well as their output legitimacy. We demonstrate which particular characteristics of open and closed partnerships (...) can be expected to influence an analysis of their input and output legitimacy. (shrink)

The sharing of research data is now mandated by some funders to encourage openness and integrity in science, to ensure efficient use of research funds, and to provide training resources. Although data sharing has a long history in some parts of science, the full range of possibilities and challenges it offers are only now becoming apparent in the social sciences. This article (a) examines what may be entailed in sharing documented data, (b) provides a historical perspective on (...) data sharing, (c) describes some of the creative and successful data-sharing relationships that have occurred in the social sciences, and (d) discusses some of the main concerns of social scientists with respect to sharing their data and how these concerns might be resolved. (shrink)

Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, (...) and argue that they constitute an example of classificatory theory. This form of theorizing emerges from classification practices in conjunction with experimental know-how and expresses the knowledge underpinning the analysis and interpretation of data disseminated online. (shrink)

Open science has recently gained traction as establishment institutions have come on-side and thrown their weight behind the movement and initiatives aimed at creation of information commons. At the same time, the movement's traditional insistence on unrestricted dissemination and reuse of all information of scientific value has been challenged by the movement to strengthen protection of personal data. This article assesses tensions between open science and data protection, with a focus on the GDPR.

Using data from the International Civic and Citizenship Study, this quantitative study explores the potential for open classroom climates to foster political efficacy and civic knowledge among 8th grade students in 14 Western European countries. Findings show that an open classroom climate is associated with increased civic knowledge and political efficacy. In addition, civic knowledge and political efficacy are positively correlated with social movement citizenship. However, the relationships between both political efficacy and civic knowledge on social movement (...) citizenship are strengthened with presence of an open classroom climate. This study demonstrates the importance of an open classroom climate to develop students’ knowledge and efficacy related to active citizenship. (shrink)

Openness is one of science’s fundamental ethical norms, but it should not take precedence over the obligation to protect the confidentiality of data. Deidentifying the data obtained from human genomic research as a condition of providing open access to research data is a strategy to promote scientific openness while protecting research participants’ confidentiality interests. However, given recent advances in methods of reidentifying individuals whose deidentified data are in genomic databases, the best way to balance scientific (...) openness and protection of human subjects in genomic research is to permit access to genomic data on a restricted basis. (shrink)

This article attempts to question modes of sharing and watching to rethink political subjectivity beyond that which is enabled and enforced by the current data regime. It identifies and examines a ‘shareveillant’ subjectivity: a form configured by the sharing and watching that subjects have to withstand and enact in the contemporary data assemblage. Looking at government open and closed data as case studies, this article demonstrates how ‘shareveillance’ produces an anti-political role for the public. In describing (...) shareveillance as, after Jacques Rancière, a distribution of the sensible, this article posits a politico-ethical injunction to cut into the share and flow of data in order to arrange a more enabling assemblage of data and its affects. In order to interrupt shareveillance, this article borrows a concept from Édouard Glissant and his concern with raced otherness to imagine what a ‘right to opacity’ might mean in the digital context. To assert this right is not to endorse the individual subject in her sovereignty and solitude, but rather to imagine a collective political subjectivity and relationality according to the important question of what it means to ‘share well’ beyond the veillant expectations of the state. (shrink)