Body
Summary
Data Management and Sharing Plans (DMSPs) are increasingly becoming a requirement when submitting research proposals. Even when not required, proposals with DMSPs are often scored higher than proposals without one. Developing a DMSP helps researchers plan technology use, create a more accurate budget, and assist in the Information Assurance (IA) review process, if needed. DMSPs are recommended for all studies utilizing wearable and mobile technologies.
The Research Data Stewardship Initiative (RDSI) supports U-M researchers in managing and sharing their research data to improve the transparency, rigor, and impact of academic research. It does this through the development of policies, procedural guidance, best practices, and resources.
University of Michigan Resources
Research Data Management Guide for Health Sciences
Tips for managing data and creating a data management/sharing plan including:
- Guidance specific to NIH, NSF, ClinicalTrials.gov IPD, and other funders.
- Resources for finding, describing, organizing, visualizing, and sharing data.
- Workshop recordings.
U-M Resources for NIH Data Management & Sharing Policy
This resource includes: NIH Policy Overview, U-M Library NIH DMSP Guide, Data Repository Resources, ORSP's "Working with NIH", DMS Sample Plans and Templates, and NIH FAQS.
Data Management Plans for Social Sciences
Suggested resources for designing data management plans (DMP) for research. Includes: Funder Mandates, Templates & Examples, Roles & Responsibilities, Expected Data, Retention, Formats & Metadata, Dissemination, and Storage & Preservation.
Metadata and Data Documentation
Introduction to tools, resources, standards, and support for metadata and data documentation.
LabArchives: Best practices for research data management
Using LabArchives to organize, store, share, and archive research data.
Data Use Agreements (DUA)
Medical School Resources
Requires level 2 login.
Data Management and Sharing Plan Resources
Includes:
- Sample plans
- Preview/draft DMS Plan format page template
- Data Management & Sharing Plan Checklist
External Resources
Budgeting Resources & Data Management Plan Tool
Getting Help
About the Author
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As the Mobile Technologies Core Manager at the University of Michigan’s Eisenberg Family Depression Center, Victoria Bennett helps investigators navigate the university’s robust resources while perpetually looking for opportunities to curate new resources. She aims to reduce friction for investigators who wish to utilize mobile technologies in health research. Drawing from her extensive experience with entrepreneurship, Victoria applies an entrepreneurial mindset to create efficient systems, improving operational effectiveness and impact.
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