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Saved by 2 people (0 private), first by anonymouse user on 2009-05-15


Public Sticky notes

Peter Murray-Rust and others at the Unilever Centre for Molecular Informatics at Cambridge

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conversation we had over lunch with Peter, Jim Downing, Nico Adams, Nick Day and Rufus Pollock

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appropriate way to license published scientific data

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value of share-alike or copyleft provisions of GPL and similar licenses

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spreading the message and use of Open Content

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prevent “freeloaders” from being able to use Open material and not contribute back to the open community

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presumption in this view is that a license is a good, or at least acceptable, way of achieving both these goals

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allow people the freedom to address their concerns through copyleft approaches

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Rufus

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concerned more centrally with enabling re-use and re-purposing of data as far as is possible

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don’t tend to be concerned about freeloading

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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

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“license”, will have scientists running screaming in the opposite direction

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we focused on what we could agree on

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common position statement

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area of best practice for the publication of data that arises from public science

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there is a window of opportunity to influence funder positions

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data sharing policies

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“following best practice”

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providing clear guidance and tools

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make it easy for researchers to deliver on their obligations

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if it is widely accepted by their research communities

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“best practice is X”

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enable re-use and re-purposing of that data

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share-alike approaches as a community expectation

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Explicit statements of the status of data are required and we need effective technical and legal infrastructure to make this easy for researchers.

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“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}.”

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focuses purely on what should be done once a decision to publish has been made

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data generated by public science

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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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