The Codex of Business Writing Software for Real-World Solutions 2.pptx
How we can understand the world through open data
1. How we can
understand the world
through open data
World IA Day, February 11, 2012, Malmö
Marie Gustafsson Friberger
Department of Computer Science
Malmö University
18. Process Quality
Possibilities and
challenges
Combining
19. Process Quality
Possibilities and
challenges
Combining Making sense
20. Process
• What are possible paths for organizations
that want to make open data available?
• Start small or think big?
• What organizational and technical success
factors exist?
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21. Quality and provenance
• Within the publishing organization, how is
data quality assured, maintained and
communicated?
• How can developers ascertain that the data
used has sufficient quality?
• What are limitations to the sustainability of
applications built on open data?
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26. • How best to provide access to data so it
can be most easily reused?
• How to enable the discovery of relevant
data within the multitude of available data
sets?
• How to enable applications to integrate
data from large numbers of formerly
unknown data sources?
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27. ★ Available on the web (whatever format),
but with an open licence
★★ Available as machine-readable structured
data (e.g. excel instead of image scan of a table)
★★★ as (2) plus non-proprietary format (e.g.
CSV instead of excel)
★★★★ All the above plus, Use open standards from W3C
(RDF and SPARQL) to identify things, so that people can
point at your stuff
★★★★★ All the above, plus: Link your data to other
people’s data to provide context
28. ★ Available on the web (whatever format),
but with an open licence
★★ Available as machine-readable structured
data (e.g. excel instead of image scan of a table)
★★★ as (2) plus non-proprietary format (e.g.
CSV instead of excel)
★★★★ All the above plus, Use open standards from W3C
(RDF and SPARQL) to identify things, so that people can
point at your stuff
★★★★★ All the above, plus: Link your data to other
people’s data to provide context
Linked Open Data