IES Grant
Title: | North Carolina Common Education Data Analysis and Reporting System (NC CEDARS) | ||
Center: | NCES | Year: | 2007 |
Principal Investigator: | Price, Philip | Awardee: | North Carolina Department of Public Instruction |
Program: | Statewide Longitudinal Data Systems Grant Program [Program Details] | ||
Award Period: | 08/01/2007 through 07/31/2010 | Award Amount: | $6,000,000 |
Type: | Longitudinal Data System | Award Number: | R372A070006 |
Description: | The North Carolina Department of Public Instruction (NCDPI) proposes to use the US Department of Education (USED) longitudinal data system (LDS) grant to accelerate its transition to a data-driven decision-making environment primarily to help improve student learning. This new environment, known as the NC Common Education Data Analysis and Reporting System (NC CEDARS), will extract data from many business line systems to produce a secure, quality controlled data repository that teachers, principals, researchers and other educators can analyze with easy to use intelligence tools to meet their needs. NCDPI is requesting $6 million to fund this effort and will supplement this funding with $6.1 million in State and other funds.
The NC CEDARS LDS project will provide, for the first time, fully developed relational database integration coupled with metadata management, reporting, ad-hoc query, and user-friendly web-based functionality including state-of-the-art user-generated data storage, querying and reporting capabilities. In addition, this all-in-one solution will incorporate embedded analytics as well as SAS analytic tools. Analytical capabilities will be enhanced via Microsoft Office integration, enhanced visual development (dashboards), along with real-time updates and write-back capabilities. NC CEDARS will incorporate Extensible Markup Language (XML)-enablement and web services in support of next-generation Service Oriented Architecture (SOA) enterprise implementation. SOA reduces the complications of self-contained silo systems and data through extreme decoupling: no application depends on any other but serves as a component within a network of modularized, interconnected services. Key to the success of this emerging network architecture paradigm is data integration, which must look beyond developer-centric needs and include data-centric approaches. |
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