Bosse Andersson and Kerstin Forsberg

AstraZeneca R&D

Clinical Information Strategy

kerstin.l.forsberg@astrazeneca.com

kerfors on Twitter, LinkedIn, Slideshare, Blogspot, citulike

Linked Data, an opportunity to mitigate

complexity in pharmaceutical research

and development

Pharmaceutical research and development

Complexity

QoL? Outcomes?

Costs?

Pathophysiology?

Biomarkers?

Targets?Phenotypes?

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 A pragmatic 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