Science and Engineering Ethics 16 (4):631-637 (2010)
Abstract |
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
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Keywords | Data Data management Data integrity Research integrity Responsible conduct of research Research oversight Ethics in science Research compliance |
Categories | (categorize this paper) |
DOI | 10.1007/s11948-010-9243-1 |
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References found in this work BETA
Avoiding Twisted Pixels: Ethical Guidelines for the Appropriate Use and Manipulation of Scientific Digital Images.Douglas W. Cromey - 2010 - Science and Engineering Ethics 16 (4):639-667.
The Essential Nature of Sharing in Science.Michael J. Zigmond - 2010 - Science and Engineering Ethics 16 (4):783-799.
Scientific Forensics: How the Office of Research Integrity Can Assist Institutional Investigations of Research Misconduct During Oversight Review.John E. Dahlberg & Nancy M. Davidian - 2010 - Science and Engineering Ethics 16 (4):713-735.
Statistical Power, the Belmont Report, and the Ethics of Clinical Trials.Sara H. Vollmer & George Howard - 2010 - Science and Engineering Ethics 16 (4):675-691.
View all 18 references / Add more references
Citations of this work BETA
Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective.Xiaofeng Tang, Eduardo Mendieta & Thomas A. Litzinger - 2022 - Science and Engineering Ethics 28 (2):1-22.
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