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Realising Interoperability: Technical
  issues (from big data to metadata)
• Building on success stories
• What is possible already?
• What improvements can be made internally
  and which intersects with institutions and
  policy?
• Low-hanging fruit and primary tasks ahead
• Or whatever you want to talk about…
Success stories that we can point to

• DataCite – datacite.org
• Dryad - datadryad.org
• Figshare – figshare.com
• ANDS - ands.org.au
Improvements - I
• Institutional data repositories or registries,
  connected into relevant institutional systems
• Best practice examples, policies and guidelines
• Need for a new actor (trusted third party) who can
  alllow users to work with confidential data
• Discovery in areas where there is no discipline
  solution
• Licenses for data, clearer statements about
  what can be done with the data
Improvements - II
• Public should have access to the research they
  funded
• Getting people to describe their data for other
  people even outside their discipline to find and
  re-use it
• Integration of better data management into
  researchers workflow, not only metadata but
  data as such
• New career path for data scientists/data
  support professionals.
Low hanging fruit:
• Easy access to data and tools in the cloud/easy
  storage
• Common metadata standards for discovery
• Mapping the space (list of
  projects/initiatives/standards) and keeping this up to
  date!
• Trust-ratings for repositories, range of quality
  measures
• Europe/worldwide login, international authorization
• Data provenance - being able to track data all the
  way from source to use
• Incentives for managing and sharing data
Slides
• http://www.slideshare.net/atreloar/nordbib-
  infrastructure-workshop

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Nordbib infrastructure workshop

  • 1. Realising Interoperability: Technical issues (from big data to metadata) • Building on success stories • What is possible already? • What improvements can be made internally and which intersects with institutions and policy? • Low-hanging fruit and primary tasks ahead • Or whatever you want to talk about…
  • 2. Success stories that we can point to • DataCite – datacite.org • Dryad - datadryad.org • Figshare – figshare.com • ANDS - ands.org.au
  • 3. Improvements - I • Institutional data repositories or registries, connected into relevant institutional systems • Best practice examples, policies and guidelines • Need for a new actor (trusted third party) who can alllow users to work with confidential data • Discovery in areas where there is no discipline solution • Licenses for data, clearer statements about what can be done with the data
  • 4. Improvements - II • Public should have access to the research they funded • Getting people to describe their data for other people even outside their discipline to find and re-use it • Integration of better data management into researchers workflow, not only metadata but data as such • New career path for data scientists/data support professionals.
  • 5. Low hanging fruit: • Easy access to data and tools in the cloud/easy storage • Common metadata standards for discovery • Mapping the space (list of projects/initiatives/standards) and keeping this up to date! • Trust-ratings for repositories, range of quality measures • Europe/worldwide login, international authorization • Data provenance - being able to track data all the way from source to use • Incentives for managing and sharing data