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Data Sharing in Biomedical Sciences: A Systematic Review of Incentives
Thijs Devriendt1, Mahsa Shabani1,2, Pascal Borry1
1Department of Public Health and Primary Care, Centre for Biomedical Ethics and Law, KU Leuven, Leuven, Belgium.
Biopreservation and Biobanking
|April 30, 2021
Summary
Lack of incentives hinders scientific data sharing. Current metrics like publications and citations are insufficient, necessitating exploration of alternative recognition systems for researchers in biomedical sciences.
Area of Science:
- Biomedical Sciences
- Metascience
- Open Science
Background:
- Current academic evaluation heavily relies on publications and citations, potentially limiting incentives for data sharing.
- The absence of robust incentives is a significant barrier to the widespread adoption of data sharing practices in research.
Purpose of the Study:
- To systematically review existing and proposed incentive mechanisms for researchers in biomedical sciences regarding data sharing.
- To discuss the strengths and weaknesses of various incentive strategies for promoting data sharing.
Main Methods:
- A systematic review of literature was conducted using PubMed, Web of Science, and Google Scholar.
- Included articles focused on incentive mechanisms for data sharing in biomedical sciences, encompassing original research, editorials, and opinion pieces.
Main Results:
- Coauthorship for data sharing, while common, poses challenges regarding authorship guidelines and scientific integrity.
- Alternative methods like data publication, citation, and altmetrics are proposed but face issues with establishment, evidence, and potential misconduct.
- Existing incentive structures are inadequate for rewarding data generation and sharing effectively.
Conclusions:
- Alternative recognition mechanisms require broader implementation and evidence generation to assess their effectiveness in promoting data sharing.
- There is a recognized need and policy interest in developing more comprehensive metascience programs and alternative crediting systems to foster Open Science principles.
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