Citing Aquatic Monitoring Data Sets: Best Practice Recommendations for Authoritative Data Citation.
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Olson, Sheryn J.
Barnas, Katie A.
Williams, Margaret R.
Banach, Michael J.
Bayer, Jennifer M.
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The use of data generated from long term monitoring efforts necessitates accurate authoritative source citations of those data to ensure credit for data collected, and accountability for the data quality to enable repeated retrieval of a given data set. Data sets used in published reports and articles are increasingly being considered objects that are required to be published and cited. Aggregating data into open access databases is becoming common and is the focus of the Coordinated Assessment for Salmon and Steelhead project (CA; https://www.pnamp.org/project/coordinated-assessments-for-salmon-and-steelhead; http://www.streamnet.org/data/coordinated-assessments/) and National Marine Fisheries Service, National Oceanic and Atmospheric Administration Salmon Population Summary (SPS; https://www.webapps.nwfsc.noaa.gov/apex/f?p=261:home:0) among others. Guidelines are needed for citing these long-term dynamic data sets that have many contributors. We explore best practices and provide rec.....
PublisherPacific Northwest Aquatic Monitoring Partnership, U.S. Geological Survey
Best Practice TypeBest Practice
Manual (incl. handbook, guide, cookbook etc)
CitationOlson, S.J., Barnas, K.A., Williams, M.R. et al (2019) Citing Aquatic Monitoring Data Sets: Best Practice Recommendations for Authoritative Data Citation. Cook, WA, Pacific Northwest Aquatic Monitoring Partnership, US Geological Survey, 33pp. DOI: http://dx.doi.org/10.25607/OBP-1031