Data Management Course Outline
From Earth Science Information Partners (ESIP)
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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
- Identify information to be preserved
- Submission agreements
- Preparing for ingest
- Ingesting data
- Validation checks
- Identifiers
- Citations
- Levels of service
- Periodic re-assessment
- Curation activities
- Media migration
- Format migration