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[ Author(Desc)] Title Type Year
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H
Henderson S. Citizen science comes of age. Frontiers in Ecology and the Environment. 2012;10(6):283 - 283.
Henebry GM. Beyond words: effective graphics and metadata are keys to concise scientific communication. Landscape Ecology. 2011;26:1355–1358.
Henzen D, Mueller M, Jirka S, et al. A Scientific Data Management Infrastructure for Environmental Monitoring and Modelling. In: Toulouse, France: International Congress on Environmental Modelling and Software; 2016. Available at: http://scholarsarchive.byu.edu/iemssconference/2016/Stream-A/23.
Hernández N, Castro LA, Favela J, Michán L, Arnrich B. Data Quality in Mobile Sensing Datasets for Pervasive Healthcare. In: Khan SU, Zomaya AY, Abbas A, eds. Handbook of Large-Scale Distributed Computing in Smart Healthcare. Handbook of Large-Scale Distributed Computing in Smart Healthcare. Cham: Springer International Publishing; 2017:217–238. Available at: https://doi.org/10.1007/978-3-319-58280-1_9.
Hernandez RR, Mayernik MS, Murphy-Mariscal ML, Allen MF. Advanced Technologies and Data Management Practices in Environmental Science: Lessons from Academia. BioScience. 2012;62(12). Available at: http://www.jstor.org/stable/10.1525/bio.2012.62.12.8.
Hochachka WM, Fink D, Hutchinson RA, et al. Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution. 2012.
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.
Hoffman FM, Randerson JT, Lawrence DM, et al. International Land Model Benchmarking (ILAMB) Project. 2011. Available at: http://www.geobabble.org/~forrest/presentations/Hoffman_DataONE-EVA_20130123.pdf.
Hook LA, Vannan SSK, Beaty T, Wilson BE. Best Practices for Preparing Environmental Data Sets to Share and Archive. 2010.
Hossain M, Muñoz H, Wu R, et al. Becoming DataONE Tier-4 Member Node: Steps taken by the Nevada Research Data Center. In: 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP). 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).; 2017.
Hou C-Y. Meeting the Needs of Data Management Training: The Federation of Earth Science Information Partners (ESIP) Data Management for Scientists Short Course. Issues in Science and Technology Librarianship. 2015.
Hou C-Y, Mayernik M. Data Management Training Modules: An Initial Survey and Comparison Result. 2016.
Huh T, Ahn S, Nam D, Jung H-K. KNLTER Network: Facilitating Global Data-Sharing. International Journal of Database Theory and Application. 2016;9(9):241-250.
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.
K
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.
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.
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.
Kazic T. Ten simple rules for experiments’ provenance. PLoS Comput Biol. 2015;11:e1004384.
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.
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.
Kim S. Functional Requirements for Research Data Repositories. International Journal of Knowledge Content Development & Technology. 2018;8(1).
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.

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