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Cancer Surveillance Data Standards and Best Practices

Sector: Government • Location: United States of America

Source: Grants.gov

Project
Archived

The purpose of this funding opportunity announcement (FOA) is to emphasize the importance of coordination and collaboration across agencies, partner, and organizations to: • Develop standards and best practices • And to expand the use of electronic data reporting. Specifically, the purpose of this program is to: • Support the development, promotion, maintenance, and communication of data s

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The project “Cancer Surveillance Data Standards and Best Practices” is an infrastructure initiative in the Government sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

The purpose of this funding opportunity announcement (FOA) is to emphasize the importance of coordination and collaboration across agencies, partner, and organizations to: • Develop standards and best practices • And to expand the use of electronic data reporting. Specifically, the purpose of this program is to: • Support the development, promotion, maintenance, and communication of data standards for population-based central cancer registration • Improve central cancer registry operations through the development and dissemination of documented best practices. • Increase reporting via electronic mechanisms and meaningful use implementation. The expected outcomes of this FOA are: • Standardized data reporting guidelines and best practices • Improved registry operations • Enhanced national cancer surveillance data • Improved data timeliness, quality, and completeness Approximately $2,250,000 is available to fund one (1) program approximately $450,000 per year for a project period of up to five (5) years. Cost sharing or matching funds are not required for this program. Although there is no statutory match requirement for this FOA, leveraging other resources and related ongoing efforts to promote program continuity is strongly encouraged.

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Source reliability

High

Data quality score

100%

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