Exploring the Future Potential of AI-Enabled Smartphone Processors
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
