Grants Database

The Foundation awards approximately 200 grants per year (excluding the Sloan Research Fellowships), totaling roughly $80 million dollars in annual commitments in support of research and education in science, technology, engineering, mathematics, and economics. This database contains grants for currently operating programs going back to 2008. For grants from prior years and for now-completed programs, see the annual reports section of this website.

Grants Database

Grantee
Amount
City
Year
  • grantee: University of California, Berkeley
    amount: $179,267
    city: Berkeley, CA
    year: 2013

    To produce a suite of mature R products that allow researchers to easily access disparate data sources, and develop the R scientific community through training and engagement

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Karthik Ram

    Three open source programming languages form a canon of sorts for the emerging field of data science: Python for general computation; Hadoop for managing massive unstructured data; and R for statistical analysis. Funds from this grant support efforts by Karthik Ram, a postdoctoral scholar at the University of California, Berkeley, to expand and strengthen the R community through the development of products aimed at lowering the barriers to the use of R. Ram has developed an R software module, for instance, that greatly simplifies the process of gathering data from archives and services commonly accessed by scientists, like Dryad, the Global Biodiversity Information Facility, or the Biodiversity Heritage Library. Ram’s module thus obviates the need for scientists to write their own idiosyncratic code to parse data from such repositories. Grant funds will support the further development of R modules by Ram and his team, as well as outreach efforts to the scientific community to provide training and speed adoption of the new tools.

    To produce a suite of mature R products that allow researchers to easily access disparate data sources, and develop the R scientific community through training and engagement

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  • grantee: Center for Open Science
    amount: $500,000
    city: Charlottesville, VA
    year: 2013

    To help move the Open Science Framework (OSF) to version 1.0, and to foster the development of an open source/open science community

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Brian Nosek

    This project funds an ambitious project by Brian Nosek, a professor of psychology at the University of Virginia, to develop and expand an institutional framework for collaborative scientific work—the Open Science Framework (OSF)—that’s modeled on the open source development protocols that have been so successful in the cooperative development of software. Nosek’s project is based on the insight that scientists could develop much more efficient collaboration practices, saving themselves time and improving the quality and velocity of their work, by borrowing the basic methods and tools of open software development. These include versioning (creating an edit log that tracks changes to any files associated with a project), “tagged releases” (locking a particular, tested version of a project for broader dissemination), “forking” (creating a personal copy of a project to add one’s own edits or additions), and “pull requests” (a request to the owner of a project to merge changes in a “forked” version back into the original). Funded activities include further development of the OSF, the construction of an applications programming interface that would allow the OSF to seamlessly interoperate with other tools and platforms, and collaborations with other developers of scientific cyberinfrastructure.

    To help move the Open Science Framework (OSF) to version 1.0, and to foster the development of an open source/open science community

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  • grantee: ARTstor, Inc.
    amount: $17,451
    city: New York, NY
    year: 2013

    To support a planning meeting on potential uses of ARTstor in image-based natural sciences

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator James Shulman

    To support a planning meeting on potential uses of ARTstor in image-based natural sciences

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  • grantee: Smithsonian Institution
    amount: $110,000
    city: Washington, DC
    year: 2013

    To combine developing and existing Smithsonian resources in novel ways to investigate, document, and demonstrate a prototypical working model for managing the digital information lifecycle

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Robert Corrigan

    To combine developing and existing Smithsonian resources in novel ways to investigate, document, and demonstrate a prototypical working model for managing the digital information lifecycle

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  • grantee: Council on Library and Information Resources
    amount: $1,299,616
    city: Washington, DC
    year: 2013

    To support two cohorts of data curation postdoctoral fellows, in order to develop emerging leaders in the field and encourage permanent staffing solutions within academic libraries

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Charles Henry

    This grant provides support for the expansion of a successful postdoctoral fellowship program run by the Council on Library and Information Resources (CLIR). The program aims to help academic libraries provide a new set of services that support data- and computation-intensive research through funding postdoctoral fellows devoted to data management and curation in the natural and social sciences. Grant funds will provide salary support to two cohorts of fellows (ten in 2013 and 12 in 2014) as well as various support and training activities such as professional training, travel, and networking with other data curation professionals.

    To support two cohorts of data curation postdoctoral fellows, in order to develop emerging leaders in the field and encourage permanent staffing solutions within academic libraries

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  • grantee: Carnegie Mellon University
    amount: $576,039
    city: Pittsburgh, PA
    year: 2012

    To study the role of transparent development environments in the production of scientific software

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator James Herbsleb

    Github is a new online service that helps programmers track and share their work. Based on "Git," a protocol for version tracking and the coordination of distributed contributions to software development, Github has become an extremely popular home for software projects both large and small, and has seen increasing use by scientists who develop software as part of their research. One notable feature of Github is its business model. There's no charge to set up an account and start posting, but there's a fee to keep your work private. This grant funds a research project by Jim Herbsleb of Carnegie Mellon's Institute for Software Research to evaluate how transparent "opt-out" development environments like Github affect the development of scientific software. Conducting case studies and analyzing archival data from Github, Herbsleb will investigate several key theses about the relationship between transparency and scientific software development, including how software developers use transparency to accomplish technical tasks, the role transparency plays in relationships between developers and the scientific community, and the difficulties transparent development environments pose for effective software development. Herbsleb's research has the potential to form the basis for policy recommendations on how transparency can be used most effectively to foster the development of scientific research.

    To study the role of transparent development environments in the production of scientific software

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  • grantee: University of California, Berkeley
    amount: $1,156,626
    city: Berkeley, CA
    year: 2012

    To support the development of interactive exploration, collaboration, and publication capabilities within the IPython Notebook software platform

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Fernando Perez

    Many researchers fail to appropriately capture, log, and version their work as it moves through the research process from data collection through multiple stages of cleaning and preparation to analysis. In part, this failure is due to the difficulty of logging changes in data as it moves from one software platform or set of scripts to another, each of which might be ideal for a particular part of the research process, but none of which are tied together by a common platform that can track the provenance of data as it moves from one system to the next. For decades, experimental scientists captured their research activities in lab notebooks. What is needed is a revitalization of that old idea: a lab notebook for the modern era of computational science. This two-year grant funds the development of just such an electronic lab notebook environment, called the IPython Notebook. Built on top of Python, R, and other widely used software languages in the data science community, the IPython Notebook is an early prototype computational platform that allows researchers to run a wide variety of high-powered data cleaning, modeling, and analysis algorithms inside a common computational environment. Grant funds will help IPython developers make the leap from early adoption to mainstream usage, focusing particularly on the development and scaling of features in three key areas: interactive exploration of data, collaborative authoring, and dissemination/sharing. Additional grant funds cover the salary of a full-time outreach coordinator to give presentations and tutorials at universities and professional society meetings, and funds to support the development of a set of live "notebooks" for use in introductory statistics classes, to better introduce students to the platform.

    To support the development of interactive exploration, collaboration, and publication capabilities within the IPython Notebook software platform

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  • grantee: University of California, Office of the President
    amount: $591,611
    city: Oakland, CA
    year: 2012

    To support the further technical and community development of the Data Management Plan Tool

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Patricia Cruse

    Shortly after the National Science Foundation began requiring all grant applications include a data management plan, a team based out of the California Digital Library developed and launched an online system to help researchers in the University of California system meet the new requirement. Named the "DMP Tool," the system contains information on funder data management requirements and on the data management resources available at participating universities, enabling researchers to quickly sketch a basic data management plan tailored to their particular proposal and institution. The system was a success. Within its first year, the DMP Tool was used to generate thousands of data management plans and has become an important resource for researchers. Because the DMP Tool was built under significant time constraints, however, the technical architecture that powers it was not developed with an eye towards expansion. As designed, the system is not prepared to accommodate the rapidly expanding number of funding agencies who have data management requirements, the increasing complexity of those requirements, or the quickly changing data management capabilities of member universities. The DMP Tool needs a core code re-write to build in the flexibility needed to meet rising demand. Funds from this grant provide support for a substantial rewriting of the DMP Tool software, with an eye toward flexibility and facilitating the effective use of the DMP Tool at a larger number of research institutions. The resulting website will better structure the metadata about research encoded in data management plans and offer broad analytics about research data management across funders, by capturing data management plans upstream of submission. Suitably rewritten, the DMP Tool has the opportunity to become the standard U.S. facilitator of data management plan creation.

    To support the further technical and community development of the Data Management Plan Tool

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  • grantee: Open Knowledge Foundation
    amount: $79,350
    city: Cambridge, United Kingdom
    year: 2012

    To prototype interoperability between citizen science platforms

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Rufus Pollock

    To prototype interoperability between citizen science platforms

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  • grantee: Kansas University Endowment Association
    amount: $6,500
    city: Lawrence, KS
    year: 2012

    To partially support the 2013 North American DDI conference

    • Program Digital Technology
    • Sub-program Data & Computational Research
    • Investigator Larry Hoyle

    To partially support the 2013 North American DDI conference

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