Open Science strategies for NIH data management, sharing, and citation
- Published
- Accepted
- Subject Areas
- Translational Medicine, Science Policy, Human-Computer Interaction, Computational Science
- Keywords
- Open Science, big data, data citation, reproducibility, validation
- Copyright
- © 2017 Clark et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Open Science strategies for NIH data management, sharing, and citation. PeerJ Preprints 5:e2836v1 https://doi.org/10.7287/peerj.preprints.2836v1
Abstract
This document summarizes a series of authoritative views on research data management, sharing and citation, developed in Expert Groups, Working Groups, and other activities organized through FORCE11 (http://force11.org), an international community of over 2,000 members dedicated to advancing research communications and e-scholarship. It was prepared in response to NIH Request for Information (RFI) NOT-OD-17-015 (URL: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-17-015.html), and was reviewed and approved by the FORCE11 Board of Directors on January 19, 2017.
Author Comment
This document was prepared by the authors as a summary of work conducted through the FORCE11 consortium beginning in 2011 and continuing through the present, in response to NIH Request for Information (RFI) NOT-OD-17-015: Strategies for NIH data management, sharing, and citation.