Data Management Course Outline

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For Scientists

The case for data management

  • Agency requirements
  • Return on Investment
    • Return on your investment - Peter Fox
    • Return on public investments
  • Preserving the Scientific Record
    • Preserving a Record of Environmental Change - Tom Karl
  • What Not to do when Archiving Data! - David Anderson (2:30)

Data Management plans

  • Elements of a plan - Ruth Duerr (needs redo and chopped into parts?)
    • Identify materials to be created
    • Data organization
    • Standards used
    • Access, sharing, and re-use policies
    • Backups, archives, and preservation strategy

Preservation strategies

  • What archives are out there?
  • What to do if there is no archive out there
  • What data goes into a Long-term archive? - Ron Weaver (5:44)
  • ??? - Ken Casey
  • Metadata - Bob Cook (4:33)

For Data Managers

  • Data Management plan support
  • Collection or acquisition policies
  • Intro to OAIS reference model
  • Initial Assessment and appraisal
    • Identify information to be preserved
      • main features and properties
      • dependencies on information here or elsewhere
    • Identify objects to be received
    • Establish complementary information needs (e.g., format, data descriptions, provenance, reference information, context, fixity information)
      • What complementary information is needed for data useful for climate studies (USGCRP list)
    • Assessing potential designated communities
    • Assessing probable curation duration
    • Assessing data transfer options
    • Defining access paths
    • Assessing costs and feasibility
    • Metadata, metadata standards, and levels of metadata
  • Submission agreements
  • Preparing for ingest
  • Ingesting data
    • Validation checks
    • Identifiers
    • Citations
    • Levels of service
  • Periodic re-assessment
  • Curation activities
    • Media migration
    • Format migration