Three weeks ago, NIH issued a request for information to solicit comments on the development an NIH Data Catalog as part of its overall Big Data to Knowledge (BD2K) Initiative.
The Data Preservation Alliance for Social Sciences issued a response to which I contributed. Two sections are of general interest to the library/stewardship community:
Common Data Citation Principles and Practices
While there are a number of different communities of practice around data citation, a number of common principles and practices can be identified.
The editorial policy Science [see http://www.sciencemag.org/site/feature/contribinfo/prep/ ] is an exemplar of two principles for data citations: First, that published claims should cite the evidence and methods upon which they rely, and second, that things cited should be available for examination by the scientific community. These principles have been recognized across a set of communities and expert reports, and are increasingly being adopted by number of other leading journals. [See Altman 2012; CODATA-ICSTI Task Group, 2013; and http://www.force11.org/AmsterdamManifesto]
Previous policies aiming to facilitate open access to research data have often failed to achieve their promise in implementation. Effective implementation requires standardizing core practices, aligning stakeholder incentives, reducing barriers to long-term access, and building in evaluation mechanisms.
A set of core recognized good practices have emerged that span fields. Good practice includes separating the elements of citation from the presentation; including in the elements identifier, title, author, and date information, and where at all possible version and fixity information; and listing data citations in the same place as citation to other works – typically in the references section. [See Altman-King 2006; Altman 2012; CODATA-ICTI Task Group 2013; http://schema.datacite.org/ ; http://data-pass.org/citations.html ]
Although the incentives related to data citation and access are complex, there are a number of simple points of leverage. First, journals can both create positive incentives for sharing data by requiring that data be properly cited. Second, funders can require that only those outputs of research that comply with access and citation policies can be claimed as results from prior research.
You may read the full response on the Data-PASS site.