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- Title
DDI and Enhanced Data Citation.
- Authors
Hoyle, Larry; Vardigan, Mary; Greenfield, Jay; Hume, Sam; Ionescu, Sanda; Iverson, Jeremy; Kunze, John; Radler, Barry; Thomas, Wendy; Weibel, Stuart; Witt, Michael
- Abstract
In October 2014 at the fifth DDI Moving Forward Sprint a subgroup met2 to focus on adding structure to DDI4 to support enhanced citation of data. A principal question was how to record the role(s) and degree of contribution of those contributing to the creation and curation of data. We also considered the question of which information objects associated with data creation might need enhanced citation information. We chose to think broadly about this, moving beyond the notion of citing a dataset to explore other types of intellectual objects that might merit some form of citation or annotation and reuse - for example, a new data collection method or a constructed variable. In thinking about roles we reviewed the CRediT taxonomy (Allen et al. 2014) and decided that it would serve as a good foundation in DDI4 for an extensible vocabulary for roles. Further, we determined that all DDI4 versionable objects should allow for the attachment of an annotation supporting citation along with role and degree of contribution. As a result of the Dagstuhl meeting the initial releases of DDI4 will have an annotation object allowing for the attribution of roles and associated degree of contribution for creators and contributors to the creation of versionable objects. Attribution information has also been proposed as a CDISC ODM-XML extension planned for development in 2015.
- Subjects
STATISTICAL standards; VOCABULARY; DUBLIN Core
- Publication
IASSIST Quarterly, 2015, Vol 39, Issue 3, p30
- ISSN
0739-1137
- Publication type
Article