Achieving human and machine accessibility of cited data in scholarly publications
- Published
- Accepted
- Subject Areas
- Science Policy, Human-Computer Interaction, Computational Science
- Keywords
- data accessibility, data citation, machine accessibility, data archiving, data accessibility, data citation, data archiving, machine accessibility
- Copyright
- © 2014 Starr 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
- 2014. Achieving human and machine accessibility of cited data in scholarly publications. PeerJ PrePrints 2:e697v1 https://doi.org/10.7287/peerj.preprints.697v1
Abstract
This short article provides operational guidance on implementing scholarly data citation and data deposition, in conformance with the Joint Declaration of Data Citation Principles (JDDCP, http://force11.org/datacitation) to help achieve widespread, uniform human and machine accessibility of deposited data. The JDDCP is the outcome of a cross-domain effort to establish core principles around cited data in scholarly publications. It deals with important issues in identification, deposition, description, accessibility, persistence, and evidential status of cited data. Eighty-five scholarly, governmental, and funding institutions have now endorsed the JDDCP. The purpose of this article is to provide the necessary guidance for JDDCP-endorsing organizations to implement these principles and to achieve their widespread adoption.
Author Comment
This is a submission to PeerJ for review.