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Biblio

Author Title Type [ Year(Desc)]
Filters: First Letter Of Last Name is H  [Clear All Filters]
2015
Stamatoplos A, Neville T, Henry D. Analyzing the Data Management Environment in a Master's-level Institution. The Journal of Academic Librarianship. 2015.
Vanderbilt KL, Lin C-C, Lu S-S, et al. Fostering ecological data sharing: collaborations in the International Long Term Ecological Research Network. Ecosphere. 2015;6:1–18. Available at: http://dx.doi.org/10.1890/ES14-00281.1.
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.
Crowston K, Specht A, Hoover C, Chudoba KM, Watson-Manheim MBeth. Perceived discontinuities and continuities in transdisciplinary scientific working groups. Science of The Total Environment. 2015.
Tenopir C, Hughes D, Allard S, et al. Research Data Services in Academic Libraries: Data Intensive Roles for the Future?. Journal of eScience Librarianship. 2015;4(2).
Tarboton DG, Idaszak R, Horsburgh J, et al. A Resource Centric Approach For Advancing Collaboration Through Hydrologic Data And Model Sharing. 2015.
Tarboton DG, Idaszak R, Horsburgh J, et al. A Resource Centric Approach For Advancing Collaboration Through Hydrologic Data And Model Sharing. 2015.
Hampton SE, Anderson S, Bagby SC, et al. The Tao of Open Science for Ecology. Ecosphere. 2015;6(7).
Hampton SE, Anderson S, Bagby SC, et al. The Tao of Open Science for Ecology. Ecosphere. 2015;6(7).
Hampton SE, Anderson S, Bagby SC, et al. The Tao of Open Science for Ecology. Ecosphere. 2015;6(7).
McPhillips T, Song T, Kolisnik T, et al. YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts. International Journal of Digital Curation. 2015;10:298–313.
2016
Hou C-Y, Mayernik M. Data Management Training Modules: An Initial Survey and Comparison Result. 2016.
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.
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.
Gries C, Gahler MR, Hanson PC, Kratz TK, Stanley EH. Information management at the North Temperate Lakes Long-term Ecological Research site — Successful support of research in a large, diverse, and long running project. Ecological Informatics. 2016:-. Available at: http://www.sciencedirect.com/science/article/pii/S1574954116301273.
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.
LaDeau SL, Han BA, Rosi-Marshall EJ, Weathers KC. The Next Decade of Big Data in Ecosystem Science. Ecosystems. 2016:1–10. Available at: http://dx.doi.org/10.1007/s10021-016-0075-y.
Kunze J, Calvert S, DeBarry J, et al. Persistence statements: describing digital stickiness.; 2016.
Tenopir C, Pollock D, Allard S, Hughes D. Research Data Services in European and North American Libraries: Current Offerings and Plans for the Future. In: Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Proceedings of the 79th ASIS&T Annual Meeting: Creating Knowledge, Enhancing Lives Through Information & Technology. Silver Springs, MD, USA: American Society for Information Science; 2016. Available at: http://dl.acm.org/citation.cfm?id=3017447.3017576.
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.
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.
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.
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.
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.
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.

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