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Steps Toward Large-Scale Data Integration in the Sciences Summary of a Workshop (2010) / Chapter Skim
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4 Success in Data Integration
Pages 31-34

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From page 31...
... In domains where there is a dominant player, standards are much easier to achieve. The successes of the Sloan Digital Sky Survey and Genbank in sharing astronomy data and genomic data are well known in the scientific community.
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From page 32...
... Freebase has incorporated the contents of several large, openly accessible data sources, such as Wikipedia and Musicbrainz, allowing users to add data and build structure by adding metadata tags that categorize or connect items.2 To date, most of the information in Freebase relates to people and places, though it can accommodate a wide range of data types, including research data. Freebase is intended to be an important component of the Semantic Web, allowing automation of many Web search functions and communication between electronic devices (New York Times, 2007)
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From page 33...
... The Protocol for Implementing Open Access Data allows researchers to mark their data for machine-readable discovery in the public domain so that their databases can be legally integrated with others, including those collected in other jurisdictions.3 The NeuroCommons project, under the auspices of Science Commons, is developing an open-source knowledge management platform for biological research. The goal is to make all knowledge sources -- including articles, knowledge bases, research data, and physical materials -- interoperable and uniformly accessible by computational agents.
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From page 34...
... Powered by open-source tools, Bio2RDF enables scientists to not only explore manually curated and computed aggregated knowledge about biological entities but to also link their data and enable all scientists to ask fairly sophisticated questions across distributed, but integrated, biomedical resources. Bio2RDF-linked data are available today as N3 files, indexed Virtuoso databases, and SPARQL endpoints across three mirrors located in Canada and Australia.
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Key Terms

  • melbourne health
  • semantic web
  • biomedical knowledge
  • science commons
  • information artifacts

  • neurocommons science
  • data web
  • global spatial
  • national spatial
  • integrating data

  • protein data
  • data bank
  • add data
  • data infrastructure
  • including research

  • accessible data
  • astronomy data
  • biomedical resources
  • knowledge discovery
  • data types

  • research databases
  • linked data
  • developed biomedical
  • crosslinked data
  • health melbourne

  • integrate data
  • accessing research
  • data allows
  • aggregated knowledge
  • genomic data


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