- Commit to sharing research data as openly as possible, given privacy constraints. Streamline IRB (Institutional Review Board), technology transfer, and information technology policies and procedures accordingly.
- Recognize data sharing contributions in hiring and promotion decisions, perhaps as a bonus to a publication's impact factor. Use concrete metrics when available.
- Educate trainees and current investigators on responsible data sharing and reuse practices through class work, mentorship, and professional development. Promote a framework for deciding upon appropriate data sharing mechanisms.
- Encourage data sharing practices as part of publication policies. Lobby for explicit and enforceable policies in journal and conference instructions, to both authors and peer reviewers.
- Encourage data sharing plans as part of funding policies. Lobby for appropriate data sharing requirements by funders, and recommend that they assess a proposal's data sharing plan as part of its scientific contribution.
- Fund the costs of data sharing, support for repositories, adoption of sharing infrastructure and metrics, and research into best practices through federal grants and AHC funds.
- Publish experiences in data sharing to facilitate the exchange of best practices.
Heather A. Piwowar, Michael J. Becich, Howard Bilofsky, Rebecca S. Crowley (2008). Towards a Data Sharing Culture: Recommendations for Leadership from Academic Health Centers PLoS Medicine, 5 (9) DOI: 10.1371/journal.pmed.0050183