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Kunze J, Choudhury S. NSF DataNet: Curating Scientific Data. 2013. Available at: http://hdl.handle.net/1853/28513.
Kunze J, Calvert S, DeBarry J, et al. Persistence statements: describing digital stickiness.; 2016.
Kratz JE, Strasser C. Making data count. Scientific Data. 2015;2:150039 - . Available at: http://dx.doi.org/10.1038/sdata.2015.39.
König C, Weigelt P, Schrader J, et al. Biodiversity data integration–The significance of data resolution and domain. PLOS Biology. 2019;17:1-16. Available at: https://doi.org/10.1371/journal.pbio.3000183.
Kolb TL, E. Blukacz-Richards A, Muir AM, et al. How to Manage Data to Enhance Their Potential for Synthesis, Preservation, Sharing, and Reuse—A Great Lakes Case Study. Fisheries. 2013;38(2):52 - 64.
Kim S. Functional Requirements for Research Data Repositories. International Journal of Knowledge Content Development & Technology. 2018;8(1).
Kervin K, Cook RB, Michener WK. The Backstage Work of Data Sharing. In: Proceedings of the 18th International Conference on Supporting Group Work. Proceedings of the 18th International Conference on Supporting Group Work. New York, NY, USA: ACM; 2014. Available at: http://doi.acm.org/10.1145/2660398.2660406.
Kelling S, Yu J, Gerbracht J, Wong W-K. Emergent Filters: Automated Data Verification in a Large-Scale Citizen Science Project. In: 2011 IEEE Seventh International Conference on e-Science Workshops (eScienceW). 2011 IEEE Seventh International Conference on e-Science Workshops (eScienceW). Stockholm, Sweden: IEEE; 2011:20 - 27.
Kazic T. Ten simple rules for experiments’ provenance. PLoS Comput Biol. 2015;11:e1004384.
Karpouzoglou T, Zulkafli Z, Grainger S, et al. Environmental Virtual Observatories (EVOs): prospects for knowledge co-creation and resilience in the Information Age. Current Opinion in Environmental Sustainability. 2016;18:40–48.
Karagiannis F, Keramida D, Ioannidis Y, et al. Technological and Organisational Aspects of Global Research Data Infrastructures Towards Year 2020. Data Science Journal. 2013;12:GRDI1-GRDI5.
Kafel D, Creamer AT, Martin ER. Building the New England Collaborative Data Management Curriculum. Journal of eScience Librarianship. 2014;3(1):60-66. Available at: 10.7191/jeslib.2014.1066.