Data Management Course Outline

From Earth Science Information Partners (ESIP)

Back to the main data management training page

NOTE: We agreed that the target audience initially would be scientists

Caution!!!!

All of the modules on this site are draft materials only! They are made available here so that interested parties can see what is in development and have the chance to comment. Once modules have completed the peer and editorial review process, they will be moved to the ESIP Information Commons and placed under revision control.

Module template and Author Guidelines

For Scientists

The case for data stewardship

Data Management plans

  • Why do a data management plan? - Ruth
  • Elements of a plan - Ruth
    • Identify materials to be created - Ruth
    • Identify your audience(s) - Ruth
    • Data organization - Ruth
    • Roles and responsibilities - Ruth
    • Describing and documenting your data, including metadata - Ruth
    • Standards used - Ruth
    • Data access, sharing, and re-use policies - Ruth
    • Backups, archives, and preservation strategy - Ruth
  • Estimating effort and resources required - Ruth
    • Hardware, software capabilities required - Ruth
    • Personnel resources and skills needed - Ruth
  • Some available resources to help with developing your plan - Ruth

Local Data Management

Preservation strategies

I have added draft sections below, the references need work -Ron Weaver

Responsible Data Use

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
    • Data integrity
    • Contacts
    • Schedule
    • Operational Procedures
    • Error reconciliation
    • Constraints
    • other aspects necessary for understanding how to support the data
  • Preparing for ingest
  • Ingesting data
    • Validation checks
    • Identifiers
    • Citations
    • Levels of service
  • Periodic re-assessment
  • Curation activities
    • Media migration
    • Format migration