Assistance Listing
The TAGGS Assistance Listing Report provides detailed award information for a single Assistance Listing. The data provided is from FY 2008 or from the start date of data collection through the present. For information prior to FY 2008, please use the TAGGS Advanced Search.
In the top display you will see the name of the Assistance Listing, agency, assistance type, and any popular name it might use, along with the 5-digit Assistance Listing Number.
Assistance Listings consisting of Direct Payment Awards may not contain links to additional recipient and award information. Direct Payment data is often collected as aggregated payments to a state to protect the personal information of the assistance recipients.
Along with the bar chart broken up by Issue Date or Funding Fiscal Year, there is also an exportable table below that groups by Issue Date or Funding Fiscal Year and shows the recipient name, state, award number, award title and amount from each award action.
By using the radio buttons, you may view data by the Issue Date Fiscal Year of by Funding Fiscal Year. In most cases, the Issue Date and Funding Fiscal Years coincide, although in some cases, delays in issuing an award and award close outs will cause the Issue Date of an award to be outside the of the Funding Fiscal Year.
Table data can be exported by choosing one of the export-format icons located at the top right of the table. Export file formats include:
- Microsoft Excel*
- Adobe Portable Document Format (PDF)
- Microsoft Word Rich Text Format (RTF)
- Comma Separated Values (CSV)
- URL that can be emailed or messaged for sharing the search results
*Abstracts not included
PLEASE NOTE: Exports are limited to 25,000 recordsThe two Fiscal Year (FY) viewing options are:
| Issue Date FY | The FY in which the award action Occurred |
| Funding FY | The FY in which the award action Funded |
To enter Keyboard Support and Web Page Reader Support for the report results grid view, you will need to press Ctrl Shift G
| Action | Shortcut |
| Move through rows | ← ↑ ↓ → |
| Next page | SHIFT PAGE DOWN |
| Previous page | SHIFT PAGE UP |
| Move through column headers and data fields | TAB |
| Sort ASC/DESC when a column header is selected | ENTER |
Objectives: To improve screening and early detection strategies and to develop accurate diagnostic techniques and methods for predicting the course of disease in cancer patients. Screening and Early Detection research includes development of strategies to decrease cancer mortality by finding tumors early when they are more amenable to treatment. Diagnosis research focuses on methods to determine the presence of a specific type of cancer; to predict its course and response to therapy, both a particular therapy or a class of agents; and to monitor the effect of the therapy and the appearance of disease recurrence. These methods include diagnostic imaging and direct analyses of specimens from tumor or other tissues. Support is also provided for establishing and maintaining resources of human tissue to facilitate research. Small Business Innovation Research (SBIR) program: To expand and improve the SBIR program; to increase private sector commercialization of innovations derived from Federal research and development; to increase small business participation in Federal research and development; and to foster and encourage participation of socially and economically disadvantaged small business concerns and women-owned small business concerns in technological innovation. Small Business Technology Transfer (STTR) program: To stimulate and foster scientific and technological innovation through cooperative research and development carried out between small business concerns and research institutions; to foster technology transfer between small business concerns and research institutions; to increase private sector commercialization of innovations derived from Federal research and development; and to foster and encourage participation of socially and economically disadvantaged small business concerns and women-owned small business concerns in technological innovation.
