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Missier P, Dey SC, Belhajjame K, Cuevas-Vicenttín V, Ludäscher B. D-PROV: extending the PROV provenance model with workflow structure. In: TaPP. TaPP.; 2013. Available at: https://www.usenix.org/system/files/conference/tapp13/tapp13-final3.pdf.
Barsky E. DOIs and Other Persistent Identifiers in Research Data. Library Staff Papers and Presentations. 2016. Available at: https://open.library.ubc.ca/cIRcle/collections/494/items/1.0319238.
Bonet FJ, Pérez-Pérez R, Benito BM, de Albuquerque FSuzart, Zamora R. Documenting, storing, and executing models in Ecology: A conceptual framework and real implementation in a global change monitoring program. Environmental Modelling & Software. 2014;52:192 - 199. Available at: http://www.sciencedirect.com/science/article/pii/S1364815213002703.
Gándara A, Villanueva-Rosales N. Documenting and Sharing Scientific Research over the Semantic Web. In: Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies. Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies. New York, NY, USA: ACM; 2012. Available at: http://doi.acm.org/10.1145/2362456.2362480.
Mallery M. Dmptool: Guidance and Resources for Your Data Management Plan; https://dmp.cdlib.org/. Technical Services Quarterly. 2014;31:197-199. Available at: http://dx.doi.org/10.1080/07317131.2014.875394.
Strasser C, Cruse P. The DMPTool and DataUp: Helping Researchers Manage, Archive, and Share their Data. In: Research Data Management Implementations Workshop. Research Data Management Implementations Workshop.; 2013.
Strasser C, Abrams S, Cruse P. DMPTool 2: Expanding Functionality for Better Data Management Planning. International Journal of Digital Curation. 2014;9:324–330.
Sallans A, Donnelly M. DMP Online and DMPTool: Different Strategies Towards a Shared Goal. International Journal of Digital Curation. 2012;7(2).
Hodge V, Jessop M, Fletcher M, et al. A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience. 2016;14(1):23 - 40. Available at: https://doi.org/10.1007/s12021-015-9276-3.
Huh T, Park G, Ahn S, Hwang S, Jung H. Design Criteria of Korean LTER Data Platform Model for Full Life-cycle Data Management. International Journal of Applied Engineering Research. 2017;12(3):336-342. Available at: http://www.ripublication.com/Volume/ijaerv12n3.htm.
Wohner C, Peterseil J, Poursanidis D, et al. DEIMS-SDR – A web portal to document research sites and their associated data. Ecological Informatics. 2019. Available at: http://www.sciencedirect.com/science/article/pii/S1574954118302528.
Damschen EI. Decoding plant communities across scales. 2018;2(12):1844 - 1845. Available at: https://doi.org/10.1038/s41559-018-0739-4.
Cruse P, Strasser C, Michener W, Kunze J, Vieglais D. DataUp: Further Development and Community Building. eScholarship CDL Staff Publications. 2012;2012. Available at: https://escholarship.org/uc/item/1dt1v1pc.
Strasser C, Kunze J, Abrams S, Cruse P. DataUp: A tool to help researchers describe and share tabular data. F1000Research. 2014;3:6. Available at: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4304223/.
Van Noorden R. Data-sharing: everything on display. Nature. 2013;500:243–245. Available at: http://www.nature.com/nature/journal/v500/n7461/full/nj7461-243a.html.
Cohn JP. DataONE Opens Doors to Scientists across Disciplines. BioScience. 2012;62(11):1004 - 1004.
Dexter NC, Cobb JW, Vieglais DA, Jones MB, Lowe M. DataONE Member Node Pilot Integration with TeraGrid?. In: Conference Proceedings of the 2011 TeraGrid Conference on Extreme Digital Discovery - TG '11. Conference Proceedings of the 2011 TeraGrid Conference on Extreme Digital Discovery - TG '11. Salt Lake City, Utah: ACM Press; 2011:1. Available at: http://dl.acm.org/citation.cfm?id=2016741.2016756.
Allard S. DataONE: Facilitating eScience through Collaboration. Journal of eScience Librarianship. 2012;1. Available at: http://escholarship.umassmed.edu/jeslib/vol1/iss1/3.
Michener W, Vieglais D, Vision T, et al. Dataone: Data observation network for earth-preserving data and enabling innovation in the biological and environmental sciences. D-Lib Magazine. 2011;17:3.
Cook R, Michener WK, Vieglais DA, Budden AE, Koskela RJ. DataONE: A Distributed Environmental and Earth Science Data Network Supporting the Full Data Life Cycle. In: Abbasi A, Giesen N, eds. EGU General Assembly Conference Abstracts. EGU General Assembly Conference Abstracts.; 2012.
Cao Y, Jones C, Cuevas-Vicenttín V, et al. DataONE: A Data Federation with Provenance Support. In: Mattoso M, Glavic B, eds. Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Cham: Springer International Publishing; 2016:230 - 234. Available at: http://dx.doi.org/10.1007/978-3-319-40593-3_28.
Hochachka WM, Fink D, Hutchinson RA, et al. Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution. 2012.
Rajasekar A, Kum H-C, Crosas M, et al. The DataBridge. SCiENCE. 2013;2:pp–1.
Smirnova L, Mergen P, Groom QJohn, et al. Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes. 2016;2:e9390. Available at: https://doi.org/10.3897/rio.2.e9390.
Tenopir C, Allard S, Douglass K, et al. Data Sharing by Scientists: Practices and Perceptions. PLoS ONE. 2011;6(6).

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