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Collaborative data sharing in climate science: acknowledgement, transparency, & access

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dc.contributor.authorDenning, Scott, author
dc.contributor.authorSociety of Quality Assurance, publisher
dc.date.accessioned2016-06-09T16:39:44Z
dc.date.available2016-06-09T16:39:44Z
dc.date.issued2016-06-03
dc.descriptionPresented at the National data integrity conference: data sharing: the how, why, when and when not to share held on June 2-3, 2016 at University of Colorado, Denver, Colorado. The National Data Integrity Conference is a gathering of people sharing new challenges and solutions regarding research data and integrity. This conference aims to provide attendees with both an understanding of data integrity issues and impart practical tools and skills to deal with them. Topics addressed will include data privacy, openness, policy, education and the impacts of sharing data, how to do it, when to do it, and when not to. Speakers and audience members come from diverse fields such as: Academic Research; Information Technology; Quality Assurance; Regulatory Compliance; Private Industry; Grant Funding; Government.
dc.descriptionProfessor Scott Denning received his B.A. in Geological Sciences from the University of Maine in 1984, and his M.S. and Ph.D. degrees in Atmospheric Science from Colorado State University in 1993 and 1994. He studied radiometric geochronology, surface water geochemistry, and mountain hydrology before becoming interested in global climate and biogeochemical dynamics. After a two-year postdoctoral appointment modeling global sources and sinks of atmospheric CO2, he spent two years as an Assistant Professor in the Donald Bren School of Environmental Science and Management at the University of California at Santa Barbara. He joined the Atmospheric Science faculty at Colorado State University in 1998, and has served as Director of Education for CMMAP since 2006. He does a lot of outreach about climate change, and takes special delight in engaging hostile audiences.
dc.descriptionPowerPoint presentation given on June 3, 2016.
dc.format.mediumborn digital
dc.format.mediumPresentation slides
dc.identifier.urihttp://hdl.handle.net/10217/172983
dc.identifier.urihttp://dx.doi.org/10.25675/10217/172983
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2nd Annual National Data Integrity Conference (2016)
dc.relation.ispartofNational data integrity conference, 2016
dc.rights.licenseThis presentation is open access and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectglobal carbon cycle
dc.subjectEddy covariance
dc.subjectmultiscale global modeling
dc.subjectreproducibility
dc.subjecttransparency
dc.subjectdiscovery
dc.subjectarchival
dc.subjectaccess
dc.titleCollaborative data sharing in climate science: acknowledgement, transparency, & access
dc.title.alternativeCollaborative data sharing in climate science: acknowledgement, transparency, and provenance
dc.typeText

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2nd Annual National Data Integrity Conference, 2016