Breakout 1 Sociolegal etc'

1
Breakout 1 Socio-legal etc.

• Every discipline will be different each data
  centre will have different answers to questions.
  Use a questionnaire and send to data centres.
• Promote use interoperability through metadata
  standards. Resource discovery standards should be
  promoted developed by learned societies/
  (membership arms) subject communities by
  disciplines (not data curators). Bottom up rather
  than top down. Education recognise v wide range
  of understanding amongst disciplines re value of
  data curation centres/IRs/archives need go out
  and promote why they exist and why they should be
  used. Focus at p/g community.
• Political issue every research council should
  have a written data policy, written, disseminated
  and policed. Some have them but not policed, need
  to be meatier than 7-8 words.
• Legal issues value of JISC legal centre but
  like clarity of law where law exists re use of
  digital objects, IP etc need clarity of law and
  guidance on how best to interpret it. Model
  licences for use, interpretation,
  confidentiality, disclosure.
• Academics data centre people need to be told
  differences between data banks/data centres etc
  and IRs. IRs have not had enough institutional
  buy-in. JISC could investigate why subject
  repositories are more successful than IRs. JISC
  policy should reflect what is happening on
  ground. this is controversial!
• Comment clarity of law is not easy hope for
  clarity of assertions to uphold. Need
  straightforward answers to straightforward
  questions!
• JISC should help sell IRs better

2
Breakout 2 Technical etc.

• Need to define what is meant by semantics of
  structured data and publish guidelines at levels
  of metadata, classification/subject areas/factual
  names/agreed conventions layered on top e.g
  identifiers. Application profiles who should be
  keeper of those definitions eg registries who
  funds and owns them ?
• Scientists concentrate on narrow areas but
  connections are to other wider areas
• Time series are different how discover and use?
  More difficult to define discovery metadata for
  time series. Data might not be logically the
  same.
• Data curation responsibility at institutional
  level/data centre data curation requires
  specialisms and data centres could feed this
  expertise back to institutions need flow of
  expertise from Data Centres to institutions
• Mixed economy re organisational responsibility is
  inevitable some federation will be there how
  to express quality role for provenance and
  audit as a means to express quality also ranking
  and annotation the group liked Mark Thorley /
  NERC annotation levels 1-3 way of categorising
  annotations.
• Curation of data is of more interest to
  scientists than interoperability as a means of
  marketing/selling it.

3
Breakout 3 Roles Responsibilities

• Individual scientists to deposit data using
  domain standards of an acceptable quality
• Re-user should acknowledge where data came from
  and if it is appropriate to improve the quality
  of the data.
• Institution should have policies that mandate
  data deposit in an appropriate place not
  necessarily an IR.
• Publishers/journals/editors should mandate open
  deposit of data.
• Curators who collect, describe and connect data,
  idea of community proxy role (NSF ref) try to
  understand ontology of the domain and define
  standards for domain working, in and with the
  scientists
• Funders should enforce their data deposit
  policies where possible.
• Funders should recognise the emerging need for
  new infrastructure and provide appropriate
  funding for this infrastructure and for the
  resulting actions.
• Users and funders should feed back views on the
  data stored to the data centre manager
• Click use licence says if you enhance the data
  you must give it back for us ESDS rule. But how
  police that policy by data centre? Versioning an
  issue here.
• Value of good enough versus completely
  comprehensive descriptions (Graham C)
• Who is responsible for ownership of the data to
  make changes? If multiple versions not
  necessarily the last one is best look at
  annotation model?
• Competitive views risk of sabotage of other
  groups work is possible.
• Who checks provenance of anything new? Curators?