Open Science strategies for NIH data management, sharing, and citation

Neurology, Harvard Medical School, Boston, MA, United States
Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
Elsevier, Amsterdam, Netherlands
University of Illinois, Urbana-Champaign, IL, United States
DataCite, Hannover, Germany
DOI
10.7287/peerj.preprints.2836v1
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
Clark T, Cousijn H, Katz DS, Fenner M. 2017. Open Science strategies for NIH data management, sharing, and citation. PeerJ Preprints 5:e2836v1

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.