Data Management and the Changing Landscape of Research

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  • Immediacy index: the number of citations the articles in a journal receive in a given year divided by the number of articles publishedCited half-life: the median age of the articles that were cited in Journal Citation Reports each year. For example, if a journal's half-life in 2005 is 5, that means the citations from 2001-2005 are half of all the citations from that journal in 2005, and the other half of the citations precede 2001
  • Data Management and the Changing Landscape of Research

    1. 1. DATA MANAGEMENT AND THE CHANGING LANDSCAPE OF RESEARCH Shea Swauger Data Management Librarian
    2. 2. DATA ARCHIVING MANDATES NATIONAL INSTITUTE OF HEALTH (2003) http://grants.nih.gov/grants/policy/data_sharing/data_sharing_ guidance.htm NATIONAL SCIENCE FOUNDATION (2011) http://www.nsf.gov/eng/general/dmp.jsp OFFICE OF SCIENCE & TECHNOLOGY POLICY (2013) http://www.whitehouse.gov/blog/2013/02/22/expanding-publicaccess-results-federally-funded-research
    3. 3. THE FUNDER’S PERSPECTIVE
    4. 4. AN ALTERNATIVE
    5. 5. UNANTICIPATED DATA REUSE Dryad Digital Repository http://datadryad.org/
    6. 6. TRADITIONAL SCHOLARSHIP AND ASSESSMENT: MEASURING THE IMPACT OF JOURNAL ARTICLES • IMPACT FACTOR OF THE JOURNAL • NUMBER OF CITATIONS TO THE ARTICLE • IMEDIACY INDEX • CITED HALF-LIFE
    7. 7. HOW CAN WE MEASURE THE IMPACT OF DATA? ALTMETRICS (alternative metrics) http://www.plumanalytics.com/ http://readermeter.org/ http://impactstory.org/
    8. 8. BUILDING A CULTURE OF OPENNESS
    9. 9. REASONS FOR NOT SHARING DATA DATA OWNERSHIP AND RIGHTS ISSUES • ASK PERMISSION • GIVE ATRIBUTION • BE WILLING TO REMOVE THE DATA
    10. 10. REASONS FOR NOT SHARING DATA RETAIN THE ABILITY TO PUBLISH FIRST • EMBARGO THE DATA • DON’T PUBLISH THE DATA UNTIL ARTICLE PUBLICATION
    11. 11. REASONS FOR NOT SHARING DATA FEAR OF OTHERS FINDING ERRORS IN THE WORK • PERFORM DATA CLEANING • HAVE A PEER LOOK OVER THE DATA
    12. 12. REASONS FOR NOT SHARING DATA FEAR OF OTHERS MISINTERPRETING THE DATA • METADATA • README FILES • PROVIDE CURRENT CONTACT INFORMATION
    13. 13. REASONS FOR NOT SHARING DATA DATA CONTAINS SENSITIVE OR PERSONALLY IDENTIFIABLE INFORMATION • ANNONIMIZATION • BREAKING APART DATA TABLES • SELECTIVE SHARING
    14. 14. DATA REPOSITORIES: INSTITUTIONAL OR DISCIPLINESPECIFIC? http://www.ncbi.nlm.nih.gov/
    15. 15. FIND A DISCIPLINE-SPECIFIC REPOSITORY http://databib.org/
    16. 16. CSU’S INSTITUTIONAL REPOSITORY http://digitool.library.colostate.edu
    17. 17. DATA MANAGEMENT SERVICES AT CSU: DATA MANAGEMENT PLAN WRITING https://dmp.cdlib.org/
    18. 18. DATA MANAGEMENT SERVICES AT CSU: CURATION: DATA APPRAISAL, SELECTION, METADATA, STRUCTURING, FORMATING
    19. 19. DATA MANAGEMENT SERVICES AT CSU: LONG-TERM DIGITAL PRESERVATION
    20. 20. DATA MANAGEMENT SERVICES AT CSU: DATA ACCESSABILITY AND SEARCH ENGINE OPTIMZATION
    21. 21. DATA MANAGEMENT SERVICES AT CSU: OPEN-ACCESS REPOSITORY MEETS GRANT FUNDER’S REQUIREMENTS
    22. 22. RESEARCH DATA AND THE TENURE AND PROMOTION PROCESS SHOULD IT COUNT? IF SO, HOW MUCH?
    23. 23. THE COMMODIFICATION OF DATA BIG DATA LARGE SCALE ANALYTICS DATA BROKERING RESEARCH DATA?
    24. 24. IF YOU HAVE DATA ISSUES
    25. 25. THE LIBRARY IS HERE TO HELP
    26. 26. QUESTIONS? Shea Swauger Data Management Librarian Morgan Library, 210 E shea.swauger@colostate.edu This Power Point is on http://www.slideshare.net/SheaSwauger

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