Achieving human and machine accessibility of cited data in scholarly publications
Year: 2014
Type: preprint
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.
Authors: Joan Starr, Eleni Castro, Mercè Crosas, Michel Dumontier, Robert R. Downs, Ruth Duerr, Laurel Haak, Melissa Haendel, Ivan Herman, Simon Hodson, Joe Hourclé, John Ernest Kratz, Jennifer Lin, Lars Holm Nielsen, Amy Nurnberger, Stefan Pröll, Andreas Rauber, Simone Sacchi, Arthur P. Smith, Michael Taylor, Tim Clark
Institutions: California Digital Library, University of California Office of the President, Harvard University, Stanford University, Columbia University, University of Colorado Boulder, National Snow and Ice Data Center, Oregon Health & Science University, Centrum Wiskunde & Informatica, Committee on Data of the International Science Council, Goddard Space Flight Center, Solar Data Analysis Center, Public Library of Science, European Organization for Nuclear Research, SBA Research, TU Wien, American Physical Society
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4230808517