Data Sharing Tools
Stanford AIMI participates in a coalition of advocates and advisors across 11 institutions led by the Computational Medicine Legal Accelerator (CMLA) at the University of Chicago that is committed to helping shape tools that address the legal process challenges.
CMLA has researched the pain points and delays in data sharing for computational medicine research for non-commercial purposes, and in collaboration with the coalition, has developed tools to help researchers and institutions expedite the review process involved with inter-institutional data sharing. These tools are customizable and designed to fit within the current knowledge sharing infrastructure of an institution while providing consistency from cross-institution collaboration.
- A guide for sharing health data including a fillable research cover sheet, an issues guide and a red flag checklist for researchers.
- Review process flow maps and templates showing the review process at example institutions and allows anyone at an institution to outline their own review process.
- An annotated template data use agreement (DUA) based off of the template agreement created by the Federal Demonstration Project, which significantly simplifies requirements compared with most data use agreements in use today while maintaining core structure and provisions.
- A downloadable clean DUA legal teams can use to streamline negotiations.
If you are interested in participating in the coalition to shape tools that address the legal process challenges we identified in our user research, please contact CMLA@chicagobooth.edu.