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SOM Data Management: Discovery and Sharing

NLM Strategic Plan

NLM's vision is to "refocus and enhance its research development, training, and information services to make more biomedical data findable, accessible, interoperable, and reusable, to invent the tools and services to turn data and information into knowledge and insight, and to develop the workforce capable of doing so."

Source: U.S. National Library of Medicine. A Platform for Biomedical Discovery and Data-Powered Health. Strategic Plan 2017-2027

Data Sharing

Data Discovery Resources

Data Repository

The following are characteristics identified by the BMIC as being desirable characteristics of data repositories:

  • Persistent unique identifiers
  • Long-term sustainability
  • Metadata
  • Curation & quality assurance
  • Maximally open access
  • Tracking data re-use
  • Free of charge
  • Secure
  • Common format
  • Provenance

Additional considerations for repositories involving human data:

  • Fidelity to consent
  • Restricted use compliant
  • Privacy
  • Plan for breach
  • Download audit and control
  • Clear use guidance
  • Retention guidance
  • Plan for use violations
  • Request review

 

Source: Huerta MF. Strategic Approaches to Data Science & Open Science: Research Data Management. Presented at: Research Data Management Symposium; 2019 Dec 5; New York, NY.

Data Management and Sharing Policies

Data Citation

Contact Us

For questions or comments, email us at medicine.datacatalog@hofstra.edu.

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