Case Studies

Fogarty International Center
National Cancer Institute, Financial Management Branch, National Institutes of Health
National Cancer Institute, Research Analysis and Evaluation Branch, National Institutes of Health
National Center for Complementary and Alternative Medicine, National Institutes of Health

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Fogarty International Center	FIC contracted Altum, Inc. to assist with the migration of its current in-house database information into a web-based, relational database information system. This system is comprised of a web-based application relying on a Java framework to provide dynamic content from an Oracle database. FIC’s historical data was converted from their existing system, and is updated via a regularly scheduled, automated download from IRDB/IMPACII. FIC required ease of coding and user-friendly coding screens for its users. Altum was able to meet this need by leveraging its existing scientific project coding system deployed at other Institutes and Centers. FIC is also leveraging Altum’s experience in the area of scientific coding to develop additional coding requirements. These requirements involved the use of existing CRISP codes from IMPAC as well as the integration of coding specific to FIC. FIC-specific coding includes clinical trial and gender/minority tracking information. Altum also provided FIC with a mechanism to code and track administrative data, especially country-specific information.
National Cancer Institute, Financial Management Branch, National Institutes of Health	The National Cancer Institute, Financial Management Branch (FMB) originally contracted Altum, Inc. to develop a Science Tracking and Reporting System on an Oracle database and to migrate an existing Microsoft Access based scientific coding and reporting system to the new system. This web-based application is similar to other Altum systems in use at 11 Institutes, Centers, and Offices at the National Institutes of Health (NIH) including the National Institute of Deafness and Other Communication Disorders, National Institute of Mental Health, and the Office of Dietary Supplements. This system allows Scientists, Budget Officers and Grant Administrators to easily track and accurately identify the grant information they need. The FMB continues to extend the system beyond general grant management and reporting capabilities, streamline the internal NCI budget process and utilize FLARE to report all scientific based budget information.Altum continues to develop enhancements and maintain FLARE for NCI-FMB.
National Cancer Institute, Research Analysis and Evaluation Branch, National Institutes of Health	The National Cancer Institute, Research Analysis and Evaluation Branch originally contracted Altum, Inc. to develop a Science Tracking and Reporting System on an Oracle database and to migrate an existing NCI mainframe-based scientific coding and reporting system to the new system called FLARE: Fiscal Linked Analysis of Research Information. Altum continues to develop enhancements and maintain FLARE for NCI. The system track, queries, categorizes, and reports on grant information. This web-based application is similar to other Altum systems in use at 11 Institutes, Centers, and Offices at the National Institutes of Health (NIH) including the National Institute of Deafness and Other Communication Disorders, National Institute of Mental Health, and the Office of Dietary Supplements. This system allows Scientists, Budget Officers and Grant Administrators to easily track and accurately identify the grant information they need.
National Center for Complementary and Alternative Medicine, National Institutes of Health	The objective of this task order was to create a new web-based, relational database to capture the scientific coding information for NCCAM grant, contract, and intramural projects. The database was built with a user-friendly front-end, was easily maintainable, and interfaced directly with IMPAC II. The database development was done in an expeditious manner, as no formal scientific coding system existed at NCCAM. Some key issues of the development were evaluating budget categories and coding terminology, ensuring a mechanism for archival “snapshots” of data, incorporating historical data, and adding new fields for other data besides scientific coding such as gender and minority tracking information.

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