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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

Why Open Science?

Data Repository

The following are characteristics identified by the BioMedical Informatics Coordinating Committee (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.

These repositories are selected from the much longer list available via NIH.

These generalist repositories are affiliated with NIH, which suggests depositing in a generalist repository if a domain specific repository cannot be found. List from NIH.

Data Discovery Resources

Choosing the Right Repository for Your Data

There are several considerations you may need to account for when choosing a repository for your data.

  • Does your funding agency or publisher specify a repository to use?
  • If they do not specify a repository, do they have guidelines? For instance, the NIH directs researchers to seek out a discipline specific repository.
  • How large is your data? Many repositories have limits on the amount of free storage provided. Do you need to budget for storage?
  • Is the data sensitive or under embargo? What controls do you need for your data?
  • Who is the funder for the repository? Is it sustainable? Is it endorsed by a scholarly or professional group?

Data Management and Sharing Policies

Data Citation

Contact Us

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

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