What if It Didn't Happen: Data Management and Avoiding Research Misconduct
Abstract
As research misconduct has created reproducibility and researcher reputation concerns, there is an opportunity to recommend data management techniques to assist researchers as they seek to prevent these issues. Also central to the discussion are issues of power in the conduct of research, particularly in upholding the values of honesty and accountability. This commentary discusses how data professionals can engage in practical strategies to protect against allegations of misconduct.
Copyright and License
© 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium non-commercially, provided the original author and source are credited.
Additional Information
Appears in Cappello, Alicia, Marla Hertz, Tina Griffin, and Jamaica Jones. 2023. "Special Issue: 2023 Research Data Access and Preservation Summit." Journal of eScience Librarianship 12(3): e862. https://doi.org/10.7191/jeslib.862.
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