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Biblio

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M
Murphy B. Collaborative Research: Predicting post-wildfire sedimentation of reservoirs: probabilistic modeling of debris flow generation and downstream sediment routing. Logan, UT: Utah State University; 2019. Available at: https://digitalcommons.usu.edu/funded_research_data/97.
Murillo AP. Examining data sharing and data reuse in the dataone environment. Proceedings of the American Society for Information Science and Technology. 2014;51:1–5. Available at: http://dx.doi.org/10.1002/meet.2014.14505101155.
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.
Muñoz G, W. Kissling D, E. van Loon E. Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature. Biodiversity Data Journal. 2019;7:e28737. Available at: https://doi.org/10.3897/BDJ.7.e28737.
Morris BD, White EP. The EcoData Retriever: Improving Access to Existing Ecological Data. PLoS ONE. 2013;8(6).
Monastersky R. Publishing frontiers: The library reboot. Nature. 2013;495(7442).
Missier P, Dey SC, Belhajjame K, Cuevas-Vicenttín V, Ludäscher B. D-PROV: extending the PROV provenance model with workflow structure. In: TaPP. TaPP.; 2013. Available at: https://www.usenix.org/system/files/conference/tapp13/tapp13-final3.pdf.
Missier P, Ludäscher B, Dey S, et al. Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository. International Journal of Digital Curation. 2012;7(1).
Missier P, Bryans J, Danger R, Curcin V. Preserving privacy in shared provenance data. 2013.
Miller-Rushing A, Benz S. Workshop 1: Conference on Public Participation in Scientific Research 2012: An International, Interdisciplinary Conference. Bulletin of the Ecological Society of America. 2013;94(1):112 - 117.
Miller-Rushing A, Primack R, Bonney R. The history of public participation in ecological research. Frontiers in Ecology and the Environment. 2012;10(6):285 - 290.
Miles S. Mapping Attribution Metadata to the Open Provenance Model. Future Generation Computer Systems. 2011;27(6):806 - 811.
Michener WK. Ecological data sharing. Journal of Ecological Informatics . 2015;29.
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.
Michener WK, Jones MB. Ecoinformatics: supporting ecology as a data-intensive science. Trends in Ecology & Evolution. 2012;27(2).
Michener WK. Data Discovery. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Springer, Cham; 2018:115-128.
Michener WK. Quality assurance and quality control (QA/QC). In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:55-70.
Michener W, Vieglais D, Vision T, et al. Dataone: Data observation network for earth-preserving data and enabling innovation in the biological and environmental sciences. D-Lib Magazine. 2011;17:3.
Michener WK. Creating and managing metadata. In: Ecological Informatics. Data Management and Knowledge Discovery. Ecological Informatics. Data Management and Knowledge Discovery. Heidelberg: Springer; 2018:71-88.
Michener WK. Ten Simple Rules for Creating a Good Data Management Plan. PLoS Comput Biol . 2015;11(10).
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.
McLure M, Level AV, Cranston CL, Oehlerts B, Culbertson M. Data Curation: A Study of Researcher Practices and Needs. portal: Libraries and the Academy. 2014;14:139–164. Available at: https://muse.jhu.edu/journals/portal_libraries_and_the_academy/v014/14.2.mclure.html .
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.
Mayernik MS, Davis L, Kelly K, et al. Research Center Insights into Data Curation Education and Curriculum. In: Bolikowski Ł, Casarosa V, Goodale P, et al., eds. Theory and Practice of Digital Libraries – TPDL 2013 Selected Workshops.Vol 416. Theory and Practice of Digital Libraries – TPDL 2013 Selected Workshops. Springer International Publishing; 2014:239-248. Available at: http://dx.doi.org/10.1007/978-3-319-08425-1_26.
Mason SJK, Cleveland SB, Llovet P, Izurieta C, Poole GC. A centralized tool for managing, archiving, and serving point-in-time data in ecological research laboratories. Environmental Modelling & Software. 2014;51:59 - 69. Available at: http://www.sciencedirect.com/science/article/pii/S1364815213001990.

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