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The Impact of Data and Technology on Science

The Impact of Data and Technology on Science. Mike Conlon University of Florida mconlon@ufl.edu. Data Production. 5. Harvesting. Increased Research Results. PubMed publications per year, 1950-2008. A Web of Data – The Semantic Web.

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The Impact of Data and Technology on Science

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  1. The Impact of Data and Technology on Science • Mike Conlon • University of Florida • mconlon@ufl.edu

  2. Data Production

  3. 5. Harvesting

  4. Increased Research Results PubMed publications per year, 1950-2008

  5. A Web of Data – The Semantic Web • Information is stored using the Resource Description Framework (RDF) as subject-predicate-object “triples” Dept. of Genetics College of Medicine professor in Jane Smith Genetics Institute has affiliation with Journal article author of Book Book chapter Subject Predicate Object

  6. VIVO Searchlight

  7. A Consumption Scenario Find all faculty members whose genetic work is implicated in breast cancer VIVO will store information about faculty and associate to genes. Diseaseome associates genes to diseases. Query resolves across VIVO and data sources it links to.

  8. Institutions record activities, interests, accomplishments

  9. Producing Data

  10. Data Sharing Photograph by J. G. Park. Flicker.com Photograph by Ell Brown Flicker.com

  11. Data Archive The Role of the Archive • Collate data, final semantics, ready for consumption

  12. Data Consumption Photograph by ScoopMedia. Flicker.com Photograph by Janet Tarbox. Flicker.com

  13. Data Reasoning • Data integration continues to be a serious bottleneck for the expectations of increased productivity in the pharmaceutical and biotechnology domain.“Linked Life Data” integrates common public datasets that describe the relationships between gene, protein, interaction, pathway, target, drug, disease and patient and currently consist of more than 5 billion RDF statements.The dataset interconnects more than 20 complete data sources and helps to understand the “bigger picture” of a research problem by linking previously unrelated data from heterogeneous knowledge. • From the LarKC (Large Knowledge Collider) http://www.larkc.eu/overview/

  14. Data, Tools and Scientists

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