Douglass, Kimberly L

English

University of Tennessee, Knoxville: Trace

University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange School of Information Sciences -- Faculty Publications and Other Works School of Information Sciences February 2010 An Organizational Context for Scientific Data Practices Kimberly L. Douglass University of Tennessee - Knoxville, kdougla2@utk.edu Follow this and additional works at: https://trace.tennessee.edu/utk_infosciepubs  Part of the Comparative Politics Commons, Environmental Policy Commons, International Relations Commons, Library and Information Science Commons, and the Public Administration Commons Recommended Citation Douglass, Kimberly L., "An Organizational Context for Scientific Data Practices" (2010). School of Information Sciences -- Faculty Publications and Other Works. https://trace.tennessee.edu/utk_infosciepubs/12 This is brought to you for free and open access by the School of Information Sciences at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in School of Information Sciences -- Faculty Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact trace@utk.edu. DataONE  NSF-funded project  Enables science Universal access to data about life on Earth and the environment that sustains it An Organizational Context for Scientific Data Practices(Kimberly Douglass, Lei Wu, Carol Tenopir, Suzie Allard, Maribeth Manoff, Eleanor Read) University of Tennessee, Bruce WilsonORNL, Patricia Cruse California Digital Library, Mike Frame U.S. Geological SurveyResearch Question How are government-housed and government-funded scientists constrained in data sharing? Preliminary FindingsIf some or all of your data are available to others, these data are available on my organization’ website.  Academia 52.5% Government 75.9%Pearson’s R  (Value = 31.375 – df =12 - .significance =.002)**Phi (Value=.332 - significance=.002)**Tell us how much you agree with the statement, “my organization or project provides training on best practices for data management”. Academia 20.6%  Government 24.5% Pearson’s R  (Value = 32.731 - df = 16 - significance =.008) **Phi (Value =.314 - significance =.008)**I would be more likely to make my data available if I could place conditions on access. Academia 67.1%Government 61.8% Pearson’s R  (Value =31.126 – df =16 - significance=.013)*Phi (Value=.309 - significance =.013)* Demographics – Survey of Data PracticesAcknowledgementsSupport for DataONE is provided through NSF DataNET-0830944 Cooperative Agreement. The principal investigator of DataONE is William Michener, University of New Mexico.AnalysisMore data available on government  websitesStorage is more of an issue in academia.Time and funding are issues for both sectors.Training on best practices for data management is an issue  for both sectors.Both would make data available conditionally.What Have We Learned?Government-housed and government-funded scientists differ only  in information available on their websites and processes for data storage.Stakeholder Network:A DataONE ToolFederal /National Government66%State/Regional Government13%Local Government2%Corporation4%Private Foundation7%Other8%Primary Funding SourceAcademic69%Government27%Other4%Work Sector Funded by Federal/National GovernmentN = 508N = 336If your data are not available electronically to others, why not (check all that apply)?  Insufficient Time Academia 57.8% Government 58.3% Lack of Funding Academia 37.7% Government 50.0% Do not Have Rights to Make Data Public   Academia 20.6% Government 27.8% No place to Put DataAcademia 21.1% Government 20.8% Significant at the .05 level*, significant at the .010 level**, significant at the .001 level***My organization or project has a formal established process for storing data beyond the life of the project (long-term). Academia 39.3% Government 57.3% Pearson’s R  (Value = 27.450 – df =16 - .significance = .037)* Phi (Value=.288- significance=.037)* 

An Organizational Context for Scientific Data Practices

University of Tennessee, KnoxvilleTrace: Tennessee Research and CreativeExchangeSchool of Information Sciences -- FacultyPublications and Other Works School of Information SciencesFebruary 2010An Organizational Context for Scientific DataPracticesKimberly L. DouglassUniversity of Tennessee - Knoxville, kdougla2@utk.eduFollow this and additional works at: http://trace.tennessee.edu/utk_infosciepubsPart of the Comparative Politics Commons, Environmental Policy Commons, InternationalRelations Commons, Library and Information Science Commons, and the Public AdministrationCommonsThis is brought to you for free and open access by the School of Information Sciences at Trace: Tennessee Research and Creative Exchange. It has beenaccepted for inclusion in School of Information Sciences -- Faculty Publications and Other Works by an authorized administrator of Trace: TennesseeResearch and Creative Exchange. For more information, please contact trace@utk.edu.Recommended CitationDouglass, Kimberly L., "An Organizational Context for Scientific Data Practices" (2010). School of Information Sciences -- FacultyPublications and Other Works.http://trace.tennessee.edu/utk_infosciepubs/26DataONE  NSF-funded project  Enables science Universal access to data about life on Earth and the environment that sustains it An Organizational Context for Scientific Data Practices(Kimberly Douglass, Lei Wu, Carol Tenopir, Suzie Allard, Maribeth Manoff, Eleanor Read) University of Tennessee, Bruce WilsonORNL, Patricia Cruse California Digital Library, Mike Frame U.S. Geological SurveyResearch Question How are government-housed and government-funded scientists constrained in data sharing? Preliminary FindingsIf some or all of your data are available to others, these data are available on my organization’ website.  Academia 52.5% Government 75.9%Pearson’s R  (Value = 31.375 – df =12 - .significance =.002)**Phi (Value=.332 - significance=.002)**Tell us how much you agree with the statement, “my organization or project provides training on best practices for data management”. Academia 20.6%  Government 24.5% Pearson’s R  (Value = 32.731 - df = 16 - significance =.008) **Phi (Value =.314 - significance =.008)**I would be more likely to make my data available if I could place conditions on access. Academia 67.1%Government 61.8% Pearson’s R  (Value =31.126 – df =16 - significance=.013)*Phi (Value=.309 - significance =.013)* Demographics – Survey of Data PracticesAcknowledgementsSupport for DataONE is provided through NSF DataNET-0830944 Cooperative Agreement. The principal investigator of DataONE is William Michener, University of New Mexico.AnalysisMore data available on government  websitesStorage is more of an issue in academia.Time and funding are issues for both sectors.Training on best practices for data management is an issue  for both sectors.Both would make data available conditionally.What Have We Learned?Government-housed and government-funded scientists differ only  in information available on their websites and processes for data storage.Stakeholder Network:A DataONE ToolFederal /National Government66%State/Regional Government13%Local Government2%Corporation4%Private Foundation7%Other8%Primary Funding SourceAcademic69%Government27%Other4%Work Sector Funded by Federal/National GovernmentN = 508N = 336If your data are not available electronically to others, why not (check all that apply)?  Insufficient Time Academia 57.8% Government 58.3% Lack of Funding Academia 37.7% Government 50.0% Do not Have Rights to Make Data Public   Academia 20.6% Government 27.8% No place to Put DataAcademia 21.1% Government 20.8% Significant at the .05 level*, significant at the .010 level**, significant at the .001 level***My organization or project has a formal established process for storing data beyond the life of the project (long-term). Academia 39.3% Government 57.3% Pearson’s R  (Value = 27.450 – df =16 - .significance = .037)* Phi (Value=.288- significance=.037)* 

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An Organizational Context for Scientific Data Practices

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University of Tennessee, Knoxville: Trace

University of Tennessee, Knoxville: Trace