NIH Data Management and Sharing Policy (The Course)
The National Institutes of Health (NIH) has rolled out a new policy for the management and sharing of scientific data.
The main requirement is that researchers include a Data Management and Sharing (DMS) plan with their proposal. Not all research will require data sharing. However, everyone must provide a justification if they can’t share their data.
In this course we will describe what the new policy requires, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.
The course is intended for anyone who plans to submit a grant proposal to the NIH.
The course will cover:
- Motivations behind the new policy
- Overview of the new policy requirements and how it may affect you
- Suggestions about where to share your data
- Recommendations about how to budget for your data
- Guidance about how to write a DMS plan
- Information on how to submit the DMS plan to funding agencies
- Guidance on how to update a DMS plan after submission or funding
- General tips and frequently asked questions
- About this Course
- DMS Helper App
- 1 Why this new DMS policy
- 2 How will this policy affect me
- 3 Overview of the DMS Plan
- 4 Data Management and Storage
- 5 Budgeting for Data Sharing
- 6 Writing a DMS Plan
- 7 Presubmission Tips
- 8 Post Submission Tips
- Additional Resources
- Further Reading
- Tools Used for This Course
- Data File Size Details
- Ethical Considerations
- About the Authors
Ava Hoffman is a Senior Staff Scientist at Fred Hutchinson Cancer Center where she is a founding member of the Fred Hutch Data Science Lab. She is also Associate Faculty at the Johns Hopkins Bloomberg School of Public Health where she teaches Intro to R programming and Baltimore Community Data Science. You can learn more about Ava at her website: avahoffman.com
Carrie Wright is a Senior Staff Scientist at the Fred hutchinson Cancer Center and a member of the Fred Hutchinson Data Science Lab. Previously Carrie was an Assistant Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a faculty member of the Johns Hopkins Data Science Lab. Her work focuses on making data science and informatics more approachable and accessible. She is also a faculty member of the open case studies project, the Informatics Technology for Cancer Research (ITCR) Training Network (ITN), and a co-founder of the LIBD rstats club, a community designed to encourage others to learn more about R programming and statistics. Learn more about Carrie at https://carriewright11.github.io/.
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