Linked data in pharma
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Linked data in pharma

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Linked data in pharma Linked data in pharma Presentation Transcript

  • Linked Data, an opportunity to mitigate complexity in pharmaceutical research and development
    Bosse Andersson and Kerstin Forsberg AstraZeneca R&D Clinical Information Strategy
    kerstin.l.forsberg@astrazeneca.comkerfors on Twitter, LinkedIn, Slideshare, Blogspot, citulike
  • Pharmaceutical research and development
  • Complexity
    Pathophysiology?
    Targets?
    Phenotypes?
    Biomarkers?
    Costs?
    QoL?
    Outcomes?
    Association and interpretationof all data needed
    has become a too complex task for individuals, or even teams to handle.
    Health care, pharma, academiaShared datasets
    Different decisions and different types of applications.
  • Opportunities
    Improve the research utility of shared datasets
    organized for associations,
    prepared for not yet defined use,
    ready for automation where computers can function alongside us to mitigate the complexity
  • It’s like sex and teenagers …
    Everybody is talking about Linked Data and Semantic Web, …
    … many have tried parts of it, but …
    few (if non) have done the real thing, and applied a sustainable and long term approach to use Linked Data principles and Semantic Web technologies to improve the research utility of their data.
  • Linked Data Management Apragmatic and iterative process
    Three enablers
    Linked Data principles, including establishing global namespaces of URI:s
    Semantic web standards, also for provenance data and dataset descriptions
    Open ontologies, with the required level of precision and consistency
    Computers to work alongside scientists to automatically
    Identify entities and assign URI:s
    Structure data and capture provenance data
    Mine for causal relationships and inconsistency