Federal Grant Data
| Federal Grant Data | |
|---|---|
| Project Information | |
| Project Title | Federal Grant Data |
| Owner | Catherine Kirby, Jeemin Sim, Avesh Krishna |
| Start Date | |
| Deadline | |
| Keywords | Data |
| Primary Billing | |
| Notes | |
| Has project status | Active |
| Subsumes: | NSF Data, NIH Data |
| Copyright © 2016 edegan.com. All Rights Reserved. | |
Contents
General
Working with NIH, NSF, and other federal grant data
Latest Update
In April 2019, Ed updated the NSF and NIH data.
NSF
The update process was:
- Visit https://www.nsf.gov/awardsearch/download.jsp
- Retrieve 2017, 2018, and 2019 zips to E:\projects\grants\NSF
- Extract them to E:\projects\grants\NSF\XML
- Remove 3 bad XML files that cause the parser to crash
- Run Jeemin_NSF_XML_Parser.py
- Add new data to old, removing dups and creating three files:
- general.txt
- institutions.txt
- investigators.txt
- Run LoadNSF.sql to to product tables NSFGeneral, NSFInvestigator and NSFInstitution in dbase grants
Note that SBIR program_codes are available from https://www.nsf.gov/awardsearch/lookup?type=program&qrytxt=*SBIR*
SBIR/STTR codes '168E','5370','169E','166E','165E','164E','163E','167E','5151','5727','4804','Y052','1532','Y813','2282','6537','Y350','4645','9311','2266','1591','1505','Z408'
NIH
The update process was:
- Visit https://exporter.nih.gov/ExPORTER_Catalog.aspx
- Retrieve 2016, 2017, and 2018 csvs to E:\projects\grants\NIH\Source Files
- Combine them into RePORTER_PRJ_C_FY2016-17-18.csv, open in excel and save as tdt
- Add old data files to same directory
- Run LoadNIH.sql to product table nih in dbase grants
Supporting info for NIH grants:
- A data dictionary for the NIH grants is here: https://exporter.nih.gov/about.aspx
- Activity Codes are here: https://grants.nih.gov/grants/funding/ac_search_results.htm
- STTR codes are: R41,R42,UT1,UT2
- SBIR codes are: R43,R44,U43,U44
- SBIR/STTR Joint codes: RC3,SB1,UB1,UC3
- Total_Cost is only available in certain instances but is the best cost variable.
grants.gov
Lists agency, estimated funding, opportunity title. opportunity number, and the date. Can be used to look up who was awarded the grants. I downloaded all grants offered by the NIH since 2005 (when the data was available)
E:\McNair\Projects\Federal Grant Data\NIH
NSF Grant Data
The NSF grant data are in folders by year, each grant is an xml file. The format of a typical file is shown below. There is data available from 1959 onwards, and full records after 1976. In 2016 there were ~10,000 awards.
Each year can be downloaded from: https://www.nsf.gov/awardsearch/download.jsp
Data is located in:
E:\McNair\Projects\Federal Grant Data\NSF
Sample XML schema
<rootTag> <Award> <AwardTitle> Collaborative Research: Hybrid Organic-Inorganic Thermoelectric Materials </AwardTitle> <AwardEffectiveDate>08/31/2016</AwardEffectiveDate> <AwardExpirationDate>06/30/2017</AwardExpirationDate> <AwardAmount>95461</AwardAmount> <AwardInstrument> <Value>Standard Grant</Value> </AwardInstrument> <Organization>07030000<Directorate> <LongName>Directorate For Engineering</LongName> </Directorate> <Division> <LongName>Div Of Civil, Mechanical, & Manufact Inn</LongName> </Division> </Organization> <ProgramOfficer> <SignBlockName>Thomas F. Kuech</SignBlockName> </ProgramOfficer> <AbstractNarration> Thermoelectric materials are materials which can be used to convert thermal energy directly to electricity. The performance of a thermoelectric material is measured by the "figure of merit", termed ZT. There has been much research into increasing thermoelectric materials, figure of merit, however, progress in this area has been slow and most of the researched thermoelectric materials up to now are suffering from either high fabrication cost, usage of rare earth or toxic elements, or poor mechanical properties. Organic thermoelectric materials (OTEs) have recently attracted attention for low temperature applications (< 300K), especially cooling purposes, as they are flexible, low-cost and abundant, and low-cost fabrication methods for synthesizing them exist... A large class of semiconducting nanostructures (e.g. Si, CdTe, Bi, and PbTe nanowires and holely structures) combined with conjugated polymers (e.g., chemically-modified PEDOT and low bandgap polymers) and organic molecules (specifically charged chemical species attached to molecules such as CF3- substituted styrene molecules) will be simulated, synthesized and optimized to identify new hybrid materials with a potentially high ZT. </AbstractNarration> <MinAmdLetterDate>12/22/2016</MinAmdLetterDate> <MaxAmdLetterDate>12/22/2016</MaxAmdLetterDate> <ARRAAmount/> <AwardID>1723353</AwardID> <Investigator> <FirstName>Mona</FirstName> <LastName>Zebarjadi</LastName> <EmailAddress>mz6g@virginia.edu</EmailAddress> <StartDate>12/22/2016</StartDate> <EndDate/> <RoleCode>Principal Investigator</RoleCode> </Investigator> <Institution> <Name>University of Virginia Main Campus</Name> <CityName>CHARLOTTESVILLE</CityName> <ZipCode>229044195</ZipCode> <PhoneNumber>4349244270</PhoneNumber> <StreetAddress>P.O. BOX 400195</StreetAddress> <CountryName>United States</CountryName> <StateName>Virginia</StateName> <StateCode>VA</StateCode> </Institution> <ProgramElement>8092<Text>Materials Eng. & Processing</Text> </ProgramElement> <ProgramReference>024E<Text>MATERIALS DESIGN</Text> </ProgramReference> <ProgramReference>036E<Text>CIVIL INFRASTRUCTURE</Text> </ProgramReference> </Award> </rootTag>
Survey of Federal Funds for Research and Development Fiscal Years 2014–16
Excel spreadsheets with data regarding Federal Agency budgets and spending on R&D [1]
E:\McNair\Projects\Federal Grant Data\NSF\NSF Data Tables
NIH
NIH grants for a given year can be downloaded from https://report.nih.gov/award/index.cfm
This does not specify what the grant was for, but it does list the amount and organization who received the grant. Additionally, the city and state of the organization are included. The number of awards received by each organization in a given year is listed as well. Excel Tables can be downloaded for each each year at this site. I downloaded the table for 2016 as a sample.
CK: It is possible to get data. https://exporter.nih.gov/ExPORTER_Catalog.aspx
E:\McNair\Projects\Federal Grant Data\NIH
DOD
DOD grant data folder (compiled for Augusta Ecosystem project) was copied from E:\McNair\Projects\Innovation Districts\Augusta Startup Ecosystem to E:\McNair\Projects\Federal Grant Data. It contains yearly data that can be filtered, and a few files on Augusta-related grants.
