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Overview of Data Infrastructure (with a Bit Extra about Social Science)

Overview of Data Infrastructure (with a Bit Extra about Social Science). Myron Gutmann Assistant Director, National Science Foundation Directorate for the Social, Behavioral & Economic Sciences. NSF Data Policy.

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Overview of Data Infrastructure (with a Bit Extra about Social Science)

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  1. Overview of Data Infrastructure (with a Bit Extra about Social Science) Myron Gutmann Assistant Director, National Science Foundation Directorate for the Social, Behavioral & Economic Sciences

  2. NSF Data Policy • “NSF … expects investigators to share with other researchers, at no more than incremental cost and within a reasonable time, the data, samples, physical collections and other supporting materials created or gathered in the course of the work. It also encourages grantees to share software and inventions or otherwise act to make the innova-tions they embody widely useful and usable.” • Effective January, 2011, all proposals must include a data management plan

  3. From Policy to Infrastructure • NSF-supported researchers produce & share vast amounts of data • U.S. academic system is decentralized & scientific cultures vary • Cooperation with academic community & others (NIH, DoE, etc.) & international partners • NSF initiatives envision rich data infrastructure for real-time sharing of data, algorithms, software & computation

  4. Some Good Examples • DataNet Projects: DataOne & the Data Conservancy • Virtual Observatory • Protein Data Bank • ICPSR & Data-PASS • IPUMS census data repository • What’s particular about the SBE Sciences?

  5. Where to Next? Future Data Infrastructure… • Should enable the entire research workflow • Should be available to all legitimate researchers • Should allow real-time collaboration

  6. Thank you! mgutmann@nsf.gov

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