Data Citation


A data citation provides attribution to research data sources to allow for easier access to research data within journals and on the Internet. Data citations make allowances for increased acceptance and reward for research data to be considered legitimate, citable contributions to the scholarly record. Citing data also supports the reuse of data and ensures that researchers remain accountable for their data. Data citations provide an opportunity for researchers to track back to the individuals responsible for creating the data so that it can be verified and re-purposed for future study. DataCite is one example of an initiative that has taken the issue of citing data head on by allowing researchers to register their data to receive a DOI and to provide data citation guidelines.

Further Resources

Altman M, Borgman C, Crosas M, & Matone M. (2015). An Introduction to the Joint Principles for Data Citation(link is external). Bulletin of the Association for Information Science and Technology, 41(3), 43–45.

Altman M, Crosas M. (2013). The Evolution of Data Citation: From Principles to Implementation(link is external). IASSIST Quarterly, 37(1–4), 62–70.

Ball A. (2013). Making Citation Work: A British Library DataCite Workshop(link is external). Ariadne, (71).

Belter CW. (2014). Measuring the Value of Research Data: A Citation Analysis of Oceanographic(link is external) Data Sets. PLoS ONE, 9(3), e92590.

Coppin A. (n.d.). Finding Science and Engineering Specific Data Set Usage or Funding Acknowledgements(link is external). Issues in Science and Technology Librarianship.

Frey J, Coles SJ, Bird C, & Willoughby C. (2015). Collection, Curation, Citation at Source: Publication@Source 10 Years On(link is external). International Journal of Digital Curation, 10(2).

Henderson T, Kotz D. (2015). Data Citation Practices in the CRAWDAD Wireless Network Data Archive(link is external). D-Lib Magazine, 21(1/2).

Herterich P, Dallmeier-Tiessen S. (2016). Data Citation Services in the High-Energy Physics Community(link is external). D-Lib Magazine, 22(1/2).

Hey A, Tansley S, Tolle K, editors. (2009). The fourth paradigm: data-intensive scientific discovery(link is external). Redmond, WA: Microsoft Research.

Hou C-Y, Mayernik M. (2016). Recognizing the Diversity of Contributions: A Case Study for Framing Attribution and Acknowledgement for Scientific Data(link is external). International Journal of Digital Curation, 11(1).

Lord P, Macdonald A. (2003). Data Curation Report for e-Science in the UK : an audit to establish requirements for future curation and provision(link is external).

Lynch C. (2007). (link is external)The shape of the scientific article in the developing cyberinfrastructure(link is external). CT Watch Quarterly, 3(3):5–10.

Lee DJ, Stvilia B. (2014). Developing a Data Identifier Taxonomy(link is external). Cataloging & Classification Quarterly, 52(2), 303–336. 

Lyon L. (2012). The Informatics Transform: Re-Engineering Libraries for the Data Decade(link is external). International Journal of Digital Curation, 7(1):126–38.

Martone M. (ed.). (2014). Data Citation Synthesis Group: Joint Declaration of Data Citation Principles(link is external).

Mathiak B, Boland K. (2015). Challenges in Matching Dataset Citation Strings to Datasets in Social Science(link is external). D-Lib Magazine, 21(1/2).

Mayernik MS. (2015). Data Citation Initiatives and Issues(link is external). Journal of the Association for Information Science and Technology, 67(4), 973–993.

Mooney H. (2013). A Practical Approach to Data Citation: The Special Interest Group on Data Citation and Development of the Quick Guide to Data Citation(link is external). IASSIST Quarterly, 37(1–4), 71–77.

Piwowar H, Day RS, Fridsma DB. (2007). Sharing Detailed Research Data Is Associated with Increased Citation Rate(link is external). Ioannidis J, editor. PLoS ONE, 2(3):e308.

Silvello G. (2015). A Methodology for Citing Linked Open Data Subsets(link is external). D-Lib Magazine, 21(1/2).

Simons N. (2012). Implementing DOIs for Research Data(link is external). D-Lib Magazine, 18(5/6).

Simons N, Visser K. & Searle S. (2013). Growing Institutional Support for Data Citation: Results of a Partnership Between Griffith University and the Australian National Data Service(link is external). D-Lib Magazine, 19(11/12).

Starr J, Castro E, Crosas M, Dumontier M, Downs RR, Duerr R., … Clark T. (2015). Achieving Human and Machine Accessibility of Cited Data in Scholarly Publications(link is external). PeerJ Computer Science, 1, e1.

Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, Read E, et al. (2011). Data sharing by scientists: practices and perceptions(link is external). PloS one, 6(6):e21101.

Uhlir PF. (2012). For Attribution: Developing Data Attribution and Citation Practices and Standards(link is external). Washington, DC.

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