8 Concluding Thoughts

The goal of this primer was to provide a concise overview of practical resources that can help you to implement the NIH’s new Data Management and Sharing Policy. If you would like to discuss your needs in greater detail, please don’t hesitate to reach out to CRDDS.

8.1 References

The following resources and references were mentioned earlier; they are reprinted below.

Basic Policy Guidelines

• NIH’s new Data Management and Sharing Policy (DMSP) Overview
  • NIH Data Management Planning
  • NIH Data Management Best Practices
  • NIH Data Sharing and Archiving Expectations

Data Management Planning

• DMPTool
• Sample DMS Plans
• Annotated NIH DMS Plan

Data Storage

• OIT Guide to data storage at CU Boulder
  • CU Boulder PetaLibrary
  • Large File Transfer
• Back-ups and the 3-2-1 Rule

Data Management Best Practices

• Documentation and Metadata
  • Basic metadata guidance
  • Standards based metadata
  • Readme-style metadata
  • CU Scholar Readme Template
• File Management Best Practices

Data Management Tools

• Command line tutorial
• Git and GitHub tutorial
• Open Science Framework

Data Repositories and Publishing

• FAIR Data Principles
• Catalog of repositories provided by NIH
• CU Scholar
  • CU Scholar submission guidelines
  • CU Scholar data set policy (scroll to bottom)
  • Sample CU Scholar Dataset 1
  • Sample CU Scholar Dataset 2
• Data Publishing and Privacy for Human Subjects
  • UK Anonymization Network
  • ICPSR Restricted Use Data Policy

8.2 Additional resources and further reading

The resources below were not previously mentioned in the primer, but are worth consulting if you are looking for additional guidance or context.

• This Data Management and Sharing Plan Checklist based on the NIH Data Management and Sharing Plan template, is a useful reference that you can use while writing your DMS Plan.
• As you navigate the NIH DMS Plan requirements, this glossary of relevant terms can come in handy.
• This Guide to Social Science Data Preparation and Archiving is written for a social science audience, but presents data management fundamentals that are of broader interest, and which are relevant to the NIH Data Management and Sharing Policy requirements.