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Xu W, Okada M. EBM metadata based on Dublin Core better presenting validity of clinical trials. 2007;31(5).
Sullivan BL, Aycrigg JL, Barry JH, et al. The eBird enterprise: An integrated approach to development and application of citizen science. Biological Conservation. 2014;169:31 - 40. Available at: http://www.sciencedirect.com/science/article/pii/S0006320713003820.
Nativi S, Craglia M, Pearlman J. Earth Science Infrastructures Interoperability: The Brokering Approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2013;6:1118-1129.
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.
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, 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.
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.
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.
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).
Vision TJ, Piwowar HA. Data reuse and scholarly reward: understanding practice and building infrastructure. PeerJ PrePrints. 2013.
Raymond LM, Chandler CL, Lowry RK, et al. Data Publication: Addressing the Issues of Provenance, Attribution, Citation, and Accessibility. 2010.
Rosner H. Data on Wings. Scientific American. 2013;308(2):68 - 73.
Pouchard L, Barton A, Zilinski L. Data narratives: Increasing scholarly value. Proceedings of the American Society for Information Science and Technology. 2014;51:1–4. Available at: http://dx.doi.org/10.1002/meet.2014.14505101088.
Hou C-Y, Mayernik M. Data Management Training Modules: An Initial Survey and Comparison Result. 2016.