This webpage highlights the U.S. National Science Foundation's data resources that are available to the science, technology, engineering and mathematics (STEM) community and the broader public.
The NSF Open Government Plan 4.0 outlines the agency's approach to open data, which includes the following goals:
- Expand: Increase the types and amount of data the agency makes available to the public.
- Enrich: Improve the discoverability, management and reusability of the agency's data assets through metadata.
- Open: Provide machine-readable and publicly accessible agency data assets.
On this page
What is open data?
Open data are publicly available data structured in a way to be fully accessible and usable. In general, the Office of Management and Budget (OMB) refers to open data as consistent with the following principles:
Open data are made available in convenient, modifiable, and open formats that can be retrieved, downloaded, indexed, and searched. Formats should be machine-readable for automated processing. Open data should be made available to the widest range of users for the widest range of purposes, often by providing the data in multiple formats for consumption. To the extent permitted by law, these formats should be nonproprietary, publicly available and without restrictions placed upon their use.
Open data are described fully so that people have sufficient information to understand the data's strengths, weaknesses, analytical limitations and security requirements, as well as how the data are processed. Describing the data involves the use of robust, granular metadata (i.e., fields or elements that describe data), thorough documentation of data elements, data dictionaries and, if applicable, additional descriptions of the purpose of the collection, the population of interest, the characteristics of the sample and the method of data collection.
Open data are made available under an open license that places no restrictions on their use.
Open data are published in primary forms with the finest possible level of granularity that is practicable and permitted by law and other requirements. Derived or aggregate open data should also be published but must reference the primary data.
Open data are made available as quickly as necessary to preserve the value of the data. Frequency of release should account for key audiences and downstream needs.
An NSF point of contact is designated to assist with data use and respond to complaints.
NSF's data resources
NSF data at Data.gov
Use data.gov to explore NSF's open data, tools and resources that can be used to conduct research and develop apps and visualizations.
You can also view NSF's public data inventory in JSON format.
Artificial Intelligence Use Case Inventory
Explore AI use cases that NSF uses to advance its mission, enhance decision making or otherwise benefit the public.
Award Abstracts Database
View information about research projects that NSF has funded since 1989, including abstracts that describe the research and names of principal investigators and their institutions. The database includes both completed and in-progress research.
Budget Internet Information System
Explore NSF's statistical and related funding information, including summaries of awards by state, awardee institution and NSF directorate.
National Center for Science and Engineering Statistics
Explore and analyze NSF National Center for Science and Engineering Statistics (NCSES) data on topics such as the education of scientists and engineers, the science and engineering workforce, and funding for research and development (R&D), science and engineering.
NSF Federal Employee Viewpoint Survey Results
View NSF's Federal Employee Viewpoint Survey results.
NSF by the Numbers
View statistical and funding information for NSF awards, NSF-funded institutions, funding rates, proposals evaluated and obligations.
NSF Public Access Repository
Access peer-reviewed journal articles and juried conference papers from NSF-funded investigators.
NSF Developer Resources
Access featured NSF data. The page is updated as NSF makes new developer tools and data resources available.
Additional resources
Contact us
NSF welcomes your input and feedback on our implementation of the federal digital strategy, open data requirements and new datasets or data types. Contact the agency at opendata@nsf.gov or provide feedback through the Data.gov Help Desk.
Chief Data Officer
Dorothy Aronson
Chief Data Officer, Assistant Chief Information Officer for AI
Phone: (703) 292-4299
Email: daronson@nsf.gov
Evaluation Officer
Erika Rissi
Section Head, Evaluation and Assessment Capability
Phone: (703) 292-4525
Email: erissi@nsf.gov
Statistical Official
Emilda Rivers
Division Director, NCSES
Phone: (703) 292-7773
Email: erivers@nsf.gov