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