Using Biodiversity Data Best Practices: Difference between revisions

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[[Category:Best practices]][[Category:Data usage]][[Category:Data attribution]]
=Mission=
=Mission=
Formulate a set of best practices for users of biodiversity data that would maintain licensing and attribution throughout the data usage and publishing lifecycle.
Formulate a set of best practices for users of biodiversity data that would maintain licensing and attribution throughout the data usage and publishing lifecycle.
=Goals=
=Goals=
Create a document based of best practices culled from leaders in the biodiversity, library sciences, and archiving communities.
Create a document based on best practices culled from leaders in the biodiversity, library sciences, and archiving communities.
=Members=
=Members=
*Reed Beaman
*Reed Beaman
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*associate a value-added dataset with its GUID, e.g., DOI, ARK
*associate a value-added dataset with its GUID, e.g., DOI, ARK
*preserve annotations, and publish them back to the providers (ambiguous)
*preserve annotations, and publish them back to the providers (ambiguous)
*publish to a long-term repository of citations with datasets, e.g., DRYAD, DATAONE
*publish to a long-term repository of citations documenting use of datasets, e.g., Dryad
*ref: NEON for best practices
*ref: NEON for best practices

Latest revision as of 14:30, 14 March 2014

Mission

Formulate a set of best practices for users of biodiversity data that would maintain licensing and attribution throughout the data usage and publishing lifecycle.

Goals

Create a document based on best practices culled from leaders in the biodiversity, library sciences, and archiving communities.

Members

  • Reed Beaman
  • David Bloom
  • Joanna McCaffrey

Draft of Ideas

  • maintain GUID and licensing information from the provider, and intervening aggregators
  • associate a value-added dataset with its GUID, e.g., DOI, ARK
  • preserve annotations, and publish them back to the providers (ambiguous)
  • publish to a long-term repository of citations documenting use of datasets, e.g., Dryad
  • ref: NEON for best practices