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Journal Article
Sutton S, Barber D, Whitmire AL. Oregon State University Libraries and Press Strategic Agenda for Research Data Services. 2013. Available at: http://hdl.handle.net/1957/38794.
Rosemartin AH, Crimmins TM, Enquist CAF, et al. Organizing phenological data resources to inform natural resource conservation. 2014;173:90 - 97. Available at: http://www.sciencedirect.com/science/article/pii/S0006320713002334.
K Burpee J, Glushko B, Goddard L, Kehoe I, Moore P. Outside the Four Corners: Exploring Non-Traditional Scholarly Communication. Scholarly and Research Communication. 2015;6. Available at: www.src-online.ca .
Michener WK, Allard S, Budden AE, et al. Participatory design of DataONE—Enabling cyberinfrastructure for the biological and environmental sciences. Ecological Informatics. 2012;11(Sep 2012). Available at: http://www.sciencedirect.com/science/article/pii/S1574954111000768.
Cuevas-Vicenttín V, Kianmajd P, Ludäscher B, et al. The PBase scientific workflow provenance repository. International Journal of Digital Curation. 2014;9:28–38.
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.
Crowston K. “Personas” to Support Development of Cyberinfrastructure for Scientific Data Sharing. Journal of eScience Librarianship. 2015;4(2). Available at: http://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1082&context=jeslib.
Ramdeen S. Preservation challenges for geological data at state geological surveys. GeoResJ. 2015;6:213–220.
Missier P, Bryans J, Danger R, Curcin V. Preserving privacy in shared provenance data. 2013.
Chapman AD. Principles of Data Quality. 2005. Available at: http://www2.gbif.org/DataQuality.pdf.
Freire J, Koop D, Santos E, Silva CT. Provenance for Computational Tasks: A Survey. 2008;10(3).
Monastersky R. Publishing frontiers: The library reboot. Nature. 2013;495(7442).
Wickett KM, Hu X, Thomer A. RDAP12 summit: Challenges and opportunities for data management. Bulletin of the American Society for Information Science and Technology. 2012;38:14–19. Available at: http://dx.doi.org/10.1002/bult.2012.1720380506.
Jasny BR. Realities of Data Sharing Using the Genome Wars as Case Study - Historical Perspective and Commentary. EPJ Data Science. 2013;2.
Wilson A, Downs RR, W. Lenhardt C, et al. Realizing the Value of a National Asset: Scientific Data. 2014;95:477–478. Available at: http://dx.doi.org/10.1002/2014EO500006.
Goben A, Raszewski R. Research Data Management Self-Education for Librarians: A Webliography. Issues in Science and Technology Librarianship. 2015.
Tenopir C, Sandusky RJ, Allard S, Birch B. Research data management services in academic research libraries and perceptions of librarians . Library & Information Science Research . 2014;36(2).
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).
Tenopir C, Christian L, Allard S, Borycz J. Research Data Sharing: Practices and Attitudes of Geophysicists. Earth and Space Science. 2018. Available at: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018EA000461.
Tarboton DG, Idaszak R, Horsburgh J, et al. A Resource Centric Approach For Advancing Collaboration Through Hydrologic Data And Model Sharing. 2015.
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.
Wiggins A, Bonney R, LeBuhn G, Parrish JK, Weltzin JF. A Science Products Inventory for Citizen-Science Planning and Evaluation. BioScience. 2018:biy028. Available at: http://dx.doi.org/10.1093/bioscience/biy028.
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.
Patton EW, Seyed P, Wang P, et al. SemantEco: A semantically powered modular architecture for integrating distributed environmental and ecological data. Future Generation Computer Systems. 2014;36:430 - 440. Available at: http://www.sciencedirect.com/science/article/pii/S0167739X13001969.
Doiron D, Marcon Y, Fortier I, Burton P, Ferretti V. Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination. International Journal of Epidemiology. 2017:dyx180. Available at: + http://dx.doi.org/10.1093/ije/dyx180.