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Data Sets: Making your data open access

OA Mandates

In February 2013, the White House's Office of Science Technology and Policy asked all funders with over $100 million in research expenditures each year to develop a plan to make the publications and data resulting from federally funded research freely available to the public within one year of publication.

Funder Grant proposal requires data mgmt plan

OA requirement

for papers

Maximum embargo

OA requirement

for data

Centers for Disease Control and Prevention (CDC) Yes

Work within grant: deposit to PubMed Central

Work outside the grant: deposit with NIH Manuscript Submission System (NIHMS)

12 months Data sharing encouraged, no specific requirement for deposit
Department of Defense (DOD) Yes Deposit to Defense Technical Information Center (DTIC) 12 months None
Department of Energy (DOE) Yes Deposit metadata and link to full text to Public Access Gateway for Energy and Science (PAGES) 12 months Varies by office
National Aeronautics and Space Administration (NASA) Yes Deposit to NASA-branded PubMed Central portal 12 months Deposit data to NASA archives or other publicly-accessible repository
National Institutes for Health
 (NIH)
Yes Deposit to PubMed Central 12 months Data deposit in publicly-accessible repository encouraged
National Institute of Standards and Technology (NIST) Yes Deposit to PubMed Central 12 months None
National Ocean and Atmospheric Administration (NOAA) Encouraged Deposit to NOAA repository (currently under development) 12 months Deposit data into repository (TBD) at time of publication
National Science Foundation (NSF) Yes Deposit metadata and link to full text to Public Access Gateway for Energy and Science (PAGES) 12 months Deposit data in disciplinary repositories

Note that these plans are still subject to change. For the most up-to-date information about funder implementation plans, see http://bit.ly/FedOASummary.

FAIR Data Principles

The FAIR Data Principles outline a minimal set of guiding principles and practices that data producers, and data consumers (both machine and human) should should employ to make it easier ot share, use, and cite the vast quantities of information being generated by researchers across the disciplines. FAIR data are

  • Findable
  • Accessible
  • Interoperable, and
  • Reusable‚Äč

Share your data

If your funder doesn't specify where to deposit your data, here are a few repositories to consider:

How and why to share your data