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Santos E. UV-CDAT: Analyzing Climate Datasets from a User's Perspective Poco J, Wei Y, Liu S, et al., eds. Computing in Science and Engineering. 2013;15(1):94 - 103. Available at: http://doi.ieeecomputersociety.org/10.1109/MCSE.2013.15.
Ellwein AL, Hartley LM, Donovan S, Billick I. Using Rich Context and Data Exploration to Improve Engagement with Climate Data and Data Literacy: Bringing a Field Station into the College Classroom. Journal of Geoscience EducationJournal of Geoscience Education. 2014;62(4):578 - 586. Available at: http://dx.doi.org/10.5408/13-034.
Soyka H, Budden A, Hutchison V, et al. Using Peer Review to Support Development of Community Resources for Research Data Management. Journal of eScience Librarianship. 2017;6(2).
Enke N, Thessen A, Bach K, et al. The user's view on biodiversity data sharing — Investigating facts of acceptance and requirements to realize a sustainable use of research data —. Ecological Informatics. 2012;11:25 - 33.
Sayogo DS, Pardo TA. Understanding the Capabilities and Critical Success Factors for Scientific Data Sharing in DataONE Collaborative Network. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times . Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times . College Park, MarylandNew York, New York, USA: ACM Press; 2011.
Pollock D. Understanding Scientific Data Sharing Outside of the Academy. In: Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Silver Springs, MD, USA: American Society for Information Science; 2016. Available at: http://dl.acm.org/citation.cfm?id=3017447.3017591.

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