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A
Tenopir C, Sandusky RJ, Allard S, Birch B. Academic librarians and research data services: Preparation and attitudes. IFLA Journal. 2013;39(1).
Erickson JS, Sheehan J, Bennett KP, McGuinness DL. Addressing Scientific Rigor in Data Analytics Using Semantic Workflows. In: Mattoso M, Glavic B, eds. Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016, McLean, VA, USA, June 7-8, 2016, Proceedings. Cham: Springer International Publishing; 2016:187 - 190. Available at: http://dx.doi.org/10.1007/978-3-319-40593-3_18.
Sherman A, Grevatt H, Davis M, Armstrong M. Albertsons Library Data Management Strategic Agenda Summer 2017 - Spring 2019. Boise, ID: Boise State University; 2017. Available at: http://scholarworks.boisestate.edu/datamanagementservices/4/.
Stamatoplos A, Neville T, Henry D. Analyzing the Data Management Environment in a Master's-level Institution. The Journal of Academic Librarianship. 2015.
Curty RGonçalves, Crowston K, Specht A, Grant BW, Dalton ED. Attitudes and norms affecting scientists’ data reuse. PLOS ONE. 2017;12:1-22. Available at: https://doi.org/10.1371/journal.pone.0189288.
B
Mannheimer S, Yoon A, Greenberg J, Feinstein E, Scherle R. A balancing act: The ideal and the realistic in developing Dryad’s preservation policy. First Monday. 2014;19.
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.
Hampton SE, Strasser CA, Tewksbury JJ, et al. Big data and the future of ecology. 2013;11(3):156 - 162.
Franklin J, Serra-Diaz JM, Syphard AD, Regan HM. Big data for forecasting the impacts of global change on plant communities. Global Ecology and Biogeography. 2016:n/a–n/a. Available at: http://dx.doi.org/10.1111/geb.12501.
Franklin J, Serra-Diaz JM, Syphard AD, Regan HM. Big data for forecasting the impacts of global change on plant communities. Global Ecology and Biogeography. 2016:n/a–n/a. Available at: http://dx.doi.org/10.1111/geb.12501.
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.
C
Singh MKumar, Singh DK. Cataloguing to Facilitate Big Data Analytics. In: INFLIBNET Centre; 2015.
Singh MKumar, Singh DK. Cataloguing to Facilitate Big Data Analytics. In: INFLIBNET Centre; 2015.
Reichman OJ, Jones MB, Schildhauer MP. Challenges and Opportunities of Open Data in Ecology. Science. 2011;331(6018):703 - 705.
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.
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.
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.
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.
Wang Y, Kaplan N, Newman G, Scarpino R. CitSci.org: A New Model for Managing, Documenting, and Sharing Citizen Science Data. PLoS BiolPLoS Biol. 2015;13(10):e1002280 - . Available at: http://dx.doi.org/10.1371%2Fjournal.pbio.1002280.
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.
Bach K, Schäfer D, Enke N, et al. A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecological Informatics. 2012. Available at: http://www.sciencedirect.com/science/article/pii/S1574954111000987.
Bach K, Schäfer D, Enke N, et al. A comparative evaluation of technical solutions for long-term data repositories in integrative biodiversity research. Ecological Informatics. 2012. Available at: http://www.sciencedirect.com/science/article/pii/S1574954111000987.
Sharma S, Sawyer S. Comparing Internal and External Interoperability of Digital Infrastructures. 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=3017447.3017538.
Sharma S, Sawyer S. Comparing Internal and External Interoperability of Digital Infrastructures. 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=3017447.3017538.

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