710 likes | 815 Views
STAR METRICS & SciENCV Jobs, Projects, and People Nov 7, 2012. George Chacko, Walter Schaffer, and James Onken National Institutes of Health. WHAT IS STAR METRICS?. S cience and T echnology for A merica’s R einvestment:
E N D
STAR METRICS & SciENCVJobs, Projects, and PeopleNov 7, 2012 George Chacko, Walter Schaffer, and James Onken National Institutes of Health
WHAT IS STAR METRICS? Science and Technology for America’s Reinvestment: Measuring the EffecTs of Research on Innovation, Competitiveness and Science
STAR METRICS
PARTICIPATING AGENCIES • NIH • NSF • OSTP • USDA • EPA • DOE
WHY STAR METRICS? • Presidential Memorandum on Transparency and Open Government (Jan 21, 2009) • Office of Management and Budget Memorandum Open Government Directive (Dec 8, 2009) • “…agencies should publish information online in an open format that can be retrieved, downloaded, and searched.” • “…agencies should proactively use modern technology to disseminate useful information.”
Genesis and History • Jan 2010 • Jul 2010 • Oct 2010 • Jul 2011 • Oct 2011 NIH becomes host institution • Jan 2012 New Governance • Apr 2012 Goals refined
GOVERNANCE Research Institutions Lead Entity Executive Executive Committee Program Managers Interagency Working Group Technical Project Manager Contractors
SM GOALS • Level 1: Document the levels and trends in the scientific workforce supported by federal funding. • Level 2: Develop an open automated data infrastructure and tools that will enable the documentation and analysis of a subset of the inputs, outputs, and outcomesresulting from federal investments in science.
Level I Quarterly Data Submissions STAR METRICS Research Institution Jobs Report
LEVEL I • Intermediate Goals • Statistical study to guide enrollment • Evaluating data quality • Evaluating job estimate calculations • Developing a data policy • Solicit participation of minority serving institutions
LEVEL I (cont’d) • Long-Term Goal 1: Increase participation • Establish and attain targets for the collection of workforce data for federally funded extramural research based on the outcomes from the statistical study • Develop an approach for including workforce data on federally funded intramural research • Work with partner organizations such as the FDP, AAU, APLU, and AAMC • Long-Term Goal 2: Finalize workforce report and extend the usability of the data collected
Level II Trans-agency Database of Research Projects
Roadmap for Level II • Policy level agreement on projects database • Technical implementation plan • Proof of concept pilot • Testing and refinement • More testing and refinement • Production
Level II Concepts • A database of federally funded research • Make data available to federal agencies and other interested groups • EPA, NIH, NSF, and USDA will contribute information to a proof-of-concept database. • NIH will collect data from the four agencies and create and manage the database
Level II Downstream • More research outputs • Publications • Patents • Links to researcher profiles, e.g. SciENCV • Enabling • Metrics development • Cross Agency Analysis • Benchmarking research institutions
Ongoing Activities • Level I • Statistical Study • Level II • Design • Pilot Data Policy
GOVERNANCE Research Institutions Sally Rockey(NIH) Executive Committee Chacko (NIH) Winter (NSF) Interagency Working Group (TBD) Synthosys Sapient
WITHIN NIH NIH Staff • Sally Rockey(OER) • George Chacko (CSR/OER) • Jim Onken (OER) • Jack Vinner (CIT) • Megan Columbus (OER) Contractors • Synthosys • Sapient
Other • NSF (Myron Gutmann, Susan Winter, Chris Pece) • USDA (Catherine Woteki, Sharon Drumm, John King) • EPA (LekKadeli, Bronda Harrison, MyaSjogren) • OSTP (Philip Rubin, Kei Koizumi) • DOE (Patricia Dehmer, Julie Carruthers)
Acknowledgments • NIH ERA • Pete Morton, Rick Ikeda • NIH OER • NETE • Pat Porter, Carol Kosh, Jess McKnight-Cullen Former STAR METRICS Managers • Stefano Bertuzzi (ASCB) • Julia Lane (AIR)
IN SUMMARY STAR METRICS is an open automated data infrastructure project that will enable the documentation and analysis of a subset of the inputs, outputs, and outcomes resulting from federal investments in science.
Science Experts Network and Curriculum Vitae Project Status Update NCURA November, 2012 Walter Schaffer
Brief Background • “Why do I have to keep reentering the same data into federal grant systems?” • “Why does each separate federal grants system have its own format requirements for bio-sketches?” • “Why can’t the federal grant-related reporting requirements use the same data that I’ve already entered into a federal system?” • “I already maintain my profile data in my system of choice. Why can’t I simply point to that as a source of information for my CV?” • “The administrative burden is far too large when dealing with the government.”
Enter… SciENCV Co-chaired by NSF and NIH. Six agencies (DOD, DOE, EPA, NIH, NSF, USDA) currently working together to “make it happen”. Working with the Federal Demonstration Partnership (FDP) to ensure that the system meets the goal of reducing the administrative burden on those involved in research who interact with the federal government.
SciENCV Core Services PrototypeProject Plan (High-Level) • Project Plan • Assemble NIH, NSF, and other Agency required data elements –done • Identify NIH Data sources and outputs - done • Develop data model - done • Develop NIH Use Cases & Wireframes - done • Establish timeline and level of effort for the Project – done • Approval by Research Business Models (RBM) - ? • Initial “deliverables” • Create sample XML records, pulling data from existing NIH data sources (myBibliography, NIH electronic Research Administration (eRA) • Pull data from VIVO, Harvard Profiles, ORCID and other external sources • Target HTML display pages for the NIH and NSF Biosketch and sample CVs • Test and Expand to other Agencies • See YouTube Video
Profile info Navigation Products/History Data Sources Objects “Action” area
Complex data objects Bibliography, Funding, etc.