Data management at MSU Library: an overview
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Data management at MSU Library: an overview

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Overview of data management at Montana State University

Overview of data management at Montana State University

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  • Data management should happen throughout the data lifecycle, from the moment you conceive of a research project until the data are archived and preserved for future access and reuse. (Lifecycle from UK Data Archive)

    Creating data
    design research
    plan data management (formats, storage etc)
    plan consent for sharing
    locate existing data
    collect data (experiment, observe, measure, simulate)
    capture and create metadata

    Processing data
    enter data, digitise, transcribe, translate
    check, validate, clean data
    anonymise data where necessary
    describe data
    manage and store data

    Analyzing data
    interpret data
    derive data
    produce research outputs
    author publications
    prepare data for preservation

    Preserving data
    migrate data to best format
    migrate data to suitable medium
    back-up and store data
    create metadata and documentation
    archive data

    Giving access to data
    distribute data
    share data
    control access
    establish copyright
    promote data

    Re-using data
    follow-up research
    new research
    undertake research reviews
    scrutinise findings
    teach and learn


  • Funding agency requirements
    NSF, NIH
    Whitehouse memo that says “unclassified research funded by the Federal Govt must be stored for long-term preservation and publicly available in order to maximize the impact of the Federal research investment”
    A recent article in “Nature” mentioned that NIH and Wellcome Trust are withholding grant money from researchers who do not make publications openly available – this trend could someday apply to data. Funding agencies are taking open access seriously

    Advance science
    Facilitate data reuse and repurposing
    Expedite the scientific process, saving time and resources in the long run
    Ensure research integrity – data can be used to replicate results and verify research

    Support open access – MSU’s institutional repository is optimized for search engines, so your data will rise to the top of a Google search. This leads to
    Increased research impact
    Increased citations
    Share data and knowledge
    Public: scientific community
    Increases research efficiency – and prevents duplication of effort by enabling others to use your data
    Private: data management tools allow sharing within a research team
    Preserve your data
    Protect your data for future research
    For example, Climate researchers use data from the past hundred years to analyze climate trends. You want your data to be available to support agriculture development on Mars in the 22nd Century!


  • You (the researcher):
    Create
    Informative file names
    Logical directory and folder structures
    Preservation-friendly formats
    Document
    Versions
    Metadata
    ReadMes
    Protect
    Sensitive data
    Backup: master, local, external


  • Bulk data storage
    Data analysis and visualization
    Software development
  • Data Management Librarian:
    Data management consulting
    DMPTool
    Help write and revise data management plans
    Metadata consulting
    Scholarly communication
    Encourage data sharing and reuse
    Advise on copyright and sensitive data
    Data repository guidance
    Including data publishing in ScholarWorks, our institutional repository
  • And of course facilitates the long-term preservation and accessibility of your work.

    ScholarWorks: Your scholarly output, all freely available in one place
    Open access to your scholarly output (articles, book chapters, presentations, blogs, data, etc.)
    Link to your data, even if it’s archived elsewhere (e.g. in a discipline-specific repository)
    Link your data to the associated articles
    Receive a permanent identifier for clear citations
    Store embargoed data for future publication
    Preserve your scholarly output for the long term

Transcript

  • 1. DATA MANAGEMENT AT MSU LIBRARY An overview
  • 2. OUTLINE  What is data management?  Why data management?  Data management roles at MSU  What does the library offer?
  • 3. WHAT IS DATA MANAGEMENT? create process analyze preserve give access re-use from UK Data Archive: http://www.data-archive.ac.uk/create-
  • 4. WHY DATA MANAGEMENT? Direct Verification of published research Preservation of access to data Allows reuse/repurposing of data Data discoverability Indirect (costs avoided) Redundant data collection Inefficient legacy data curation Burden of sharing-upon-request Near term Protects against personnel turnover Facilitates review and validation Long term Secure long-term stewardship Increased impact per publication Private Increased citations New collaborations Public More efficient use of research dollarsAdapted from Dryad 101 http://wiki.datadryad.org/Publicity_Material, and Beagrie N, Lavoie BF, Woollard M (2010) Keeping Research Data Safe 2. Bristol:
  • 5. DATA MANAGEMENT ROLES You (the researcher) •Informative file names •Logical directory and folder structures •Preservation-friendly formats Create •Versions •Metadata •Readmes Document •Sensitive data •Backup: master, local, externalProtect
  • 6. DATA MANAGEMENT ROLES Research Computing Group  Bulk data storage  Data analysis consulting  Software development
  • 7. DATA MANAGEMENT ROLES Data Management Librarian Data management consulting Data repository guidance Scholarly communication Connections to other resources
  • 8. WHAT DOES THE LIBRARY OFFER? ScholarWorks
  • 9. WHAT DOES THE LIBRARY OFFER? Learning opportunities  Workshops for faculty  Education modules for the classroom