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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.
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.
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.
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.
Hook LA, Vannan SSK, Beaty T, Wilson BE. Best Practices for Preparing Environmental Data Sets to Share and Archive. 2010.
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.
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.
Hochachka WM, Fink D, Hutchinson RA, et al. Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution. 2012.
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.
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.
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.
Henebry GM. Beyond words: effective graphics and metadata are keys to concise scientific communication. Landscape Ecology. 2011;26:1355–1358.
Henderson S. Citizen science comes of age. Frontiers in Ecology and the Environment. 2012;10(6):283 - 283.
Hecht J, Cooper CB. Tribute to Tinbergen: Public Engagement in Ethology. Ethology. 2014;120:207–214. Available at: http://dx.doi.org/10.1111/eth.12199.
Hardisty AR, Michener WK, Agosti D, et al. The Bari Manifesto: An interoperability framework for essential biodiversity variables. Ecological Informatics. 2018. Available at: http://www.sciencedirect.com/science/article/pii/S1574954118301961.
Hanson PC, Weathers KC, Dugan HA, Gries C. The Global Lake Ecological Observatory Network. In: Ecological Informatics. Ecological Informatics. Springer, Cham; 2018:415-433.
Hampton SE, Strasser CA, Tewksbury JJ, et al. Big data and the future of ecology. 2013;11(3):156 - 162.
Hampton SE, Anderson S, Bagby SC, et al. The Tao of Open Science for Ecology. Ecosphere. 2015;6(7).
Hampton SE, Tewksbury JJ, Strasser CA. Ecological data in the Information Age. Frontiers in Ecology and the Environment. 2012;10(2):59 - 59.