Science in the open » A breakthrough on data licensing for public science? - 0 views
-
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
-
appropriate way to license published scientific data
- ...27 more annotations...
-
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
-
make it easy for researchers to deliver on their obligations
-
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”
-
don’t tend to be concerned about freeloading
-
providing clear guidance and tools
-
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