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The quest to share data
Arthur W Toga1, Sidney Taiko Sheehan1, Tyler Ard1
1Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, Los Angeles, CA, United States.
Incentivizing scientific data sharing requires more than mandates; researchers need motivation beyond compliance. Addressing stakeholder needs and improving infrastructure are key to effective data sharing for scientific advancement.
Area of Science:
- Scientific research
- Data management
- Research policy
Background:
- Data sharing is vital for scientific progress and innovation.
- Funder mandates, like the NIH's Data Sharing Policy, promote sharing but effectiveness hinges on researcher motivation.
- Minimal compliance can lead to inadequately reusable data.
Purpose of the Study:
- To explore the multifaceted challenges and motivations behind incentivizing scientific data sharing.
- To analyze the perspectives of various stakeholders (funders, investigators, data users).
- To advocate for a holistic approach beyond policy mandates.
Main Methods:
- Discussion of stakeholder motivations and concerns.
- Examination of guidelines like FAIR principles and their implementation challenges.
- Analysis of infrastructure's impact on data sharing effectiveness.
- Addressing resource disparities and misuse concerns.
Main Results:
- Mandates alone are insufficient; researcher motivation is critical for effective data sharing.
- Stakeholder perspectives differ, impacting adoption and implementation of data sharing practices.
- Infrastructure, resources, and ethical considerations significantly influence data sharing outcomes.
- Current practices often result in minimal compliance and reusable data.
Conclusions:
- A holistic strategy is needed, incorporating reward systems, financial incentives, and supportive infrastructure.
- Encouraging enthusiastic and effective data sharing requires addressing practical and ethical challenges.
- Collaborative efforts can unlock the full potential of data sharing for advancing science and innovation.
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