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Biblio

2015
Cuevas-Vicenttín V, Kianmajd P, Ludäscher B, et al. Provenance Storage, Querying, and Visualization in PBase. In: Provenance and Annotation of Data and Processes. Provenance and Annotation of Data and Processes. Springer International Publishing; 2015:239-241.
Cuevas-Vicenttín V, Ludäscher B, Missier P. Provenance-Based Searching and Ranking for Scientific Workflows. In: Provenance and Annotation of Data and Processes. Provenance and Annotation of Data and Processes. Springer International Publishing; 2015:209-214.
Goben A, Raszewski R. Research Data Management Self-Education for Librarians: A Webliography. Issues in Science and Technology Librarianship. 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.
Hampton SE, Anderson S, Bagby SC, et al. The Tao of Open Science for Ecology. Ecosphere. 2015;6(7).
Michener WK. Ten Simple Rules for Creating a Good Data Management Plan. PLoS Comput Biol . 2015;11(10).
Kazic T. Ten simple rules for experiments’ provenance. PLoS Comput Biol. 2015;11:e1004384.
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
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.
Ludäscher B. A Brief Tour through Provenance in Scientific Workflows and Databases. Urbana-Champaign: University of Illinois; 2016. Available at: http://hdl.handle.net/2142/89717.
Teheran J, Dykstra D, Altunay M. Bringing Federated Identity to Grid Computing. In: Proceedings of the 11th Annual Cyber and Information Security Research Conference. Proceedings of the 11th Annual Cyber and Information Security Research Conference. New York, NY, USA: ACM; 2016. Available at: http://doi.acm.org/10.1145/2897795.2897807.
Rebich-Hespanha S, Rice RE. Climate and Sustainability| Dominant Visual Frames in Climate Change News Stories: Implications for Formative Evaluation in Climate Change Campaigns. International Journal of Communication. 2016;10. Available at: http://ijoc.org/index.php/ijoc/article/view/4701.
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.
Bishop W, Grubesic TH. Data Lifecycle. In: Geographic Information: Organization, Access, and Use. Geographic Information: Organization, Access, and Use. Cham: Springer International Publishing; 2016:169–186. Available at: http://dx.doi.org/10.1007/978-3-319-22789-4_9.
Hou C-Y, Mayernik M. Data Management Training Modules: An Initial Survey and Comparison Result. 2016.
Smirnova L, Mergen P, Groom QJohn, et al. Data sharing tools adopted by the European Biodiversity Observation Network Project. Research Ideas and Outcomes. 2016;2:e9390. Available at: https://doi.org/10.3897/rio.2.e9390.
Cao Y, Jones C, Cuevas-Vicenttín V, et al. DataONE: A Data Federation with Provenance Support. 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; 2016:230 - 234. Available at: http://dx.doi.org/10.1007/978-3-319-40593-3_28.
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.
Barsky E. DOIs and Other Persistent Identifiers in Research Data. Library Staff Papers and Presentations. 2016. Available at: https://open.library.ubc.ca/cIRcle/collections/494/items/1.0319238.
Buttigieg PLuigi, Pafilis E, E. Lewis S, et al. The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation. 2016;7(1):1 - 12. Available at: http://dx.doi.org/10.1186/s13326-016-0097-6.
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.
Murillo AP. How Do Scientists Determine Data Reusability?: A Quasi-experiment Think-aloud Study. 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=3017447.3017557.

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