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B
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.
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.
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.
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.
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.
Henebry GM. Beyond words: effective graphics and metadata are keys to concise scientific communication. Landscape Ecology. 2011;26:1355–1358.
Hampton SE, Strasser CA, Tewksbury JJ, et al. Big data and the future of ecology. 2013;11(3):156 - 162.
C
McKinley DC, Miller-Rushing AJ, Ballard HL, et al. Citizen science can improve conservation science, natural resource management, and environmental protection. The role of citizen science in biological conservation. 2017;208:15 - 28. Available at: http://www.sciencedirect.com/science/article/pii/S0006320716301963.
Henderson S. Citizen science comes of age. Frontiers in Ecology and the Environment. 2012;10(6):283 - 283.
Starr J, Willett P, Federer L, Horning C, Bergstrom M. A Collaborative Framework for Data Management Services: The Experience of the University of California. Journal of eScience Librarianship. 2012;1(2):109 - 114.
Dragut EC, Baker P, Xu J, et al. CRIS - Computational research infrastructure for science. In: Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on. Information Reuse and Integration (IRI), 2013 IEEE 14th International Conference on.; 2013.
D
Hou C-Y, Mayernik M. Data Management Training Modules: An Initial Survey and Comparison Result. 2016.
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.
Hochachka WM, Fink D, Hutchinson RA, et al. Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution. 2012.
Hochachka WM, Fink D, Hutchinson RA, et al. Data-intensive science applied to broad-scale citizen science. Trends in Ecology & Evolution. 2012.
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, 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.
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.

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