Science in the open » A breakthrough on data licensing for public science? - The Diigo Meta page

• 19 May 09
  

  Bill Anderson

  Cameron Neylon's summary of a conversation regarding sharing, publishing, and licensing public funded research data. Link to FriendFeed conversation in the comments.

  open data data sharing data publication science_commons license

• 15 May 09
  

  Mike Chelen

  open public science data license

  • Peter Murray-Rust and others at the Unilever Centre for Molecular Informatics at Cambridge
  • conversation we had over lunch with Peter, Jim Downing, Nico Adams, Nick Day and Rufus Pollock
  • 28 more annotations...
  • • appropriate way to license published scientific data
    • value of share-alike or copyleft provisions of GPL and similar licenses
    • spreading the message and use of Open Content
    • prevent “freeloaders” from being able to use Open material and not contribute back to the open community
    • presumption in this view is that a license is a good, or at least acceptable, way of achieving both these goals
    • allow people the freedom to address their concerns through copyleft approaches
    • Rufus
    • concerned more centrally with enabling re-use and re-purposing of data as far as is possible
    • don’t tend to be concerned about freeloading
    • worried by the potential for licensing to make it harder to re-use and re-mix disparate sets of data and content into new digital objects
    • “license”, will have scientists running screaming in the opposite direction
    • we focused on what we could agree on
    • common position statement
    • area of best practice for the publication of data that arises from public science
    • there is a window of opportunity to influence funder positions
    • data sharing policies
    • “following best practice”
    • providing clear guidance and tools
    • make it easy for researchers to deliver on their obligations
    • if it is widely accepted by their research communities
    • “best practice is X”
    • enable re-use and re-purposing of that data
    • share-alike approaches as a community expectation
    • Explicit statements of the status of data are required and we need effective technical and legal infrastructure to make this easy for researchers.
    • “Where a decision has been taken to publish data deriving from public science research, best practice to enable the re-use and re-purposing of that data, is to place it explicitly in the public domain via {one of a small set of protocols e.g. cc0 or PDDL}.”
    • focuses purely on what should be done once a decision to publish has been made
    • data generated by public science
    • describing this as best practice it also allows deviations that may, for whatever reason, be justified by specific people in specific circumstances

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