Data Reuse


Data reuse is a concept that involves using research data for a research activity or purpose other than that for which it was originally intended. Data reuse can be promoted by submitting data to an appropriate repository (global or institutional) or by ensuring that data is described and comprehensible to any other researcher who may want to use it. Using appropriate metadata schemas can contribute to describing datasets so that they can be reused over time. Similarly, a data dictionary can assist in data reuse by providing detailed definitions of the data types and methodologies used in a particular study so that it can be easily understood by other researchers. Librarians can also promote data reuse through creating data catalogs to make data easily discoverable for their patrons or hosting datathons where researchers are encouraged to reuse data in innovative ways during the event.

Further Resources

Bietz MJ, Bloss CS, Calvert S, Godino JG, Gregory J, Claffey MP, … Patrick K. (2016). Opportunities and challenges in the use of personal health data for health research(link is external). Journal of the American Medical Informatics Association, 23(e1), e42–e48.

Celi AL, Lokhandwala S, Montgomery R, Moses C, Naumann T, Pollard T, … Stretch R. Datathons and Software to Promote Reproducible Research(link is external). Journal of Medical Internet Research, 18(8), e230.

Gold A. (2007). Cyberinfrastructure, Data, and Libraries, Part 1: A Cyberinfrastructure Primer for Librarians(link is external). D-Lib Magazine, 13(9/10).

He L, Nahar V. (2016). Reuse of scientific data in academic publications(link is external). Aslib Journal of Information Management, 68(4), 478–494.

Khurshid A, Nauman E, Carton T, & Horswell R. (2014). Louisiana Clinical Data Research Network: establishing an infrastructure for efficient conduct of clinical research(link is external). Journal of the American Medical Informatics Association, 21(4), 612–614.

Mannheimer S, Sterman L, & Borda S. (2016). Discovery and Reuse of Open Datasets: An Exploratory Study(link is external). Journal of eScience Librarianship, e1091.

Missier P. (2016). Data trajectories: tracking reuse of published data for transitive credit attribution(link is external). International Journal of Digital Curation, 11(1). is external)

Piwowar H, Vision TJ. (2013). Data reuse and the open data citation advantage(link is external). PeerJ, 1(1).

Read K, Athens J, Lamb I, Nicholson J, Chin S, Xu J, … Surkis A. (2015). Promoting Data Reuse and Collaboration at an Academic Medical Center(link is external). International Journal of Digital Curation, 10(1), 260–267.

Shen Y. (2015). Research Data Sharing and Reuse Practices of Academic Faculty Researchers: A Study of the Virginia Tech Data Landscape(link is external). International Journal of Digital Curation, 10(2).

Simmhan YL, Plale B, Gannon D. (2005). A survey of data provenance in e-science(link is external). ACM SIGMOD Record, 34(3):31.

Smith VS. (2009). Data publication: towards a database of everything(link is external). BMC Research Notes, 2:113.

Tibbo HR, Hank C, Lee C, Clemens R. (2009). Digital Curation: Practice, Promise and Prospects(link is external). Proceedings of DigCCurr2009. Chapel Hill, NC: University of North Carolina at Chapel Hill. p. 207.

Vines TH, Andrew RL, Bock DG, Franklin MT, Gilbert KJ, et al. (2005). Mandated data archiving greatly improves access to research data(link is external). FASEB Journal, 27(4):1304-1308.

Wallis J. (2014). Data Producers Courting Data Reusers: Two Cases from Modeling Communities(link is external). International Journal of Digital Curation, 9(1).

Wallis JC, Rolando E, & Borgman CL. (2013). If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology(link is external). PLoS ONE, 8(7), e67332.

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