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NIH SciENcv Proof of Concept

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17 May 2012 presentation by Debbie Bucci, NIH. ScienCV proof of concept includes overview of inclusion of ORCID.

17 May 2012 presentation by Debbie Bucci, NIH. ScienCV proof of concept includes overview of inclusion of ORCID.

Published in: Technology, Education

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  • 1. Science Experts Network and Curriculum Vitae Proof-of-Concept ORCID May 17, 2012 Debbie Bucci 1
  • 2. Vision • Develop a Science Experts Network (SciENCV) automated CV-like data services platform to integrate with federal agencies processes and facilitate collaboration among scientists • Create Disambiguated links to researchers grants and their scientific output • Use current technologies to pull data from federal and non-federal sources • Streamline grant and contract applications • Reduce PI burden • Advance common understanding of the results of scientific investments • Respond to stakeholder interests 2
  • 3. Project Structure • Interagency Workgroup - Six Federal agencies: NIH, NSF, DOE, DOD, EPA, USDA, OSTP and OMB also are participating • Operates under two NSTC interagency groups – Research Business Models(RBM) and Science of Science Policy (SOSP) • Workgroup Co-Chairs • NSF • NIH • Subcommittees • Functional Architecture • Communications • Partnership with FDP 3
  • 4. Guiding Principles • • • • • • • • • • System Design driven by community needs Researchers voluntarily participate Researchers control content and the display Information auto-populated from existing resources Researchers validate, augment and modify information as needed Employ existing technology where available Adopt international data standards Make SciENcv as interoperable as possible Make it easy to use – with lots of benefits! With wide-use becomes an important source of information on US scientists 4
  • 5. Researcher View 5
  • 6. Default Login Homepage 6
  • 7. Profile info Navigation “Action” area Data Sources Objects Products/Histor y
  • 8. Manage Data 10
  • 9. Manage Form Views 14
  • 10. Pilot Data Sources • • • • • • University of Florida VIVO PubMed LinkedIn Bibliographic import (endnote, bibtext, RIS) Word 7.0 (& higher) CV Working with the Federal Demonstration Project to identify additional data sources 18
  • 11. Pilot Data Formats 19
  • 12. VIVO Human Resource Grants Organization STANDARD ONTOLOGY (CASRAI.ORG) Publications DISABIGUATION UUIDs (ORCID, SCOPUS,Agency) RDF Store (subject – predicate –object) SPARQL ENDPOINT 20
  • 13. OAuth ScienCV Source Exchange Keys (Out-of-band) Redirect PI To Source with Token PI on Login to Source prompted with permission to grant access Create Access and Refresh tokens Initial Process Select Source Present and Validate Tokens Pull Data 21
  • 14. Tagging • Bibliography • RIS • TY - Type of reference (must be the first tag) • A2 - Secondary Author • AU - Author (each author on its own line preceded by the DO – DOI • Endnote • XML • • • • %A - Author %B - Editor /Secondary Author %9 - Type of Work %@ - ISBN/ISSN • Pubmed • Word (version 7.0 and higher) 22
  • 15. Why consider ORCID? 23
  • 16. Disambiguation (!) • Agencies can disambiguate their own grantees. • What is missing? o o o o Paper associate only primary PI Track PIs across agency Career tracking Check duplicate funding • Real value added through common adoption 24
  • 17. Basic SciENCV Proof-of-Concept Pilot Project Plan (High-Level) • • • • • • • • • Finalize proof-of-concept pilot using input from FDP Identify Funding Explore policy issues, privacy, paperwork reduction, etc. Involve CIO, OMB, agencies, etc. Develop partnerships with profilers (Harvard Profiles, VIVO, ORCID, others) Design/build the pilot system - in partnership with FDP Test- in partnership with FDP Demonstrate utility – Proof-of-concept – generate biosketches, ease of use, use of existing data sources Decision about production system 25
  • 18. Basic SciENCV Proof-of-Concept Pilot Project Plan (High-Level) Potential “deliverables” • Build system (RDF/XML, semantic web approaches) Identify potential data elements/relationships (ORCID & others) • Design researcher interfaces • Log-in • Pre-populate information related to grantscontracts • Pre-populate publications • Pre-populate patent information • Provide interface for claiming/validating data • Demonstrate value to users (Interagency Team + FDP) • CV and biosketch generator • Pre-populate federal forms and data collections • Expertise/Research interest generator – concept mining • Explore reporting capabilities 26
  • 19. Contact Info Walter T. Schaffer, Ph.D. Senior Scientific Advisor for Extramural Research Office of Extramural Research National Institutes of Health Email schaffew@od.nih.gov 27

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