Responsible data management does not just pertain to maintaining the confidentiality of subjects’ data. It is also about collecting, recording, analysing and reporting data with integrity. (5)
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You should use proper techniques when handling and processing data / biological samples.
Poor technique will lead to contamination, error and bias that affect the quality of your research findings, reduce their usefulness or even cause harm when these findings are applied in future clinical practice.
You should practice diligent record keeping.
All older versions of your research documents should be retained. Entries of data should not be erased. Any amendments or corrections should be clearly marked, justified, signed / initialled and dated (i.e. traceable).
You must not misrepresent data in any way.
Misrepresentation includes:
- Falsification: Manipulating your data to falsely represent your research, such as through deliberate omission or trimming of existing data.
- Fabrication: Making up (faking) data or results that do not actually exist.
For more information on responsible data management, visit the U.S. Office of Research Integrity website where you can find many educational resources including an interactive movie, infographics and summaries of actual research misconduct cases.
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Coulehan MB, Wells JF, Clinical Tools Inc. Guidelines for Responsible Data Management in Scientific Research [Internet]. Office of Research Integrity (ORI) US Department of Health and Human Services Responsible Conduct of Research Resource Development Program; Available from: https://ori.hhs.gov/guidelines-responsible-data-management-scientific-research