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2018
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.
Schildhauer M. Data integration: principles and practice. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:129-157 .
Gries C, Budden A, Laney C, et al. Facilitating and Improving Environmental Research Data Repository Interoperability. Data Science Journal. 2018;17.
Gries C, Budden A, Laney C, et al. Facilitating and Improving Environmental Research Data Repository Interoperability. Data Science Journal. 2018;17.
Roque Fde Oliveir, Uehara-Prado M, Valente-Neto F, et al. A network of monitoring networks for evaluating biodiversity conservation effectiveness in Brazilian protected areas. Perspectives in Ecology and Conservation. 2018;16:177 - 185. Available at: http://www.sciencedirect.com/science/article/pii/S2530064418300336.
2017
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/.
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.
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.
Burgess HK, DeBey LB, Froehlich HE, et al. The science of citizen science: Exploring barriers to use as a primary research tool. The role of citizen science in biological conservation. 2017;208:113 - 120. Available at: http://www.sciencedirect.com/science/article/pii/S0006320716301951.
Schade S, Tsinaraki C, Roglia E. Scientific data from and for the citizen. First Monday. 2017;22. Available at: https://journals.uic.edu/ojs/index.php/fm/article/view/7842.
Soyka H, Budden A, Hutchison V, et al. Using Peer Review to Support Development of Community Resources for Research Data Management. Journal of eScience Librarianship. 2017;6(2).
Soyka H, Budden A, Hutchison V, et al. Using Peer Review to Support Development of Community Resources for Research Data Management. Journal of eScience Librarianship. 2017;6(2).
2016
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.
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.
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.
Sandusky RJ. Computational provenance: DataONE and implications for cultural heritage institutions. In: 2016 IEEE International Conference on Big Data (Big Data). 2016 IEEE International Conference on Big Data (Big Data).; 2016.

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