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Prometheus Research Awarded National Science Foundation Grant for Easy to Use, Web-Enabled Database Software
Date:12/17/2009

NEW HAVEN, Conn., Dec. 17 /PRNewswire/ -- Prometheus Research, a leading provider of web-enabled database software for biomedical researchers, has been awarded a $136,500 National Science Foundation grant to create a working, web-enabled database software prototype that can be installed and configured at low cost, with minimal support, and is easy to use.

The National Science Foundation (NSF) awarded the grant to Prometheus Research for its proposed Prometheus Data Publisher, an application allowing non-technical users to web-enable entire databases, select tables or columns, and to easily render any database "browsable." In addition, it will be designed to be used with any popular database, will be easy to navigate, will allow a wide range of user-selected queries, and will share results via the Web.

The Prometheus Data Publisher is aimed initially at the scientific research community, with the goal of helping researchers share their data more easily and widely, and at less cost than other web-enabling tools. The proposed database software system will also be designed to take research data consumption to a new level, making databases transparent, interactive, and collaborative, while allowing untrained users to freely navigate and discover data without the need to develop complex, expensive applications or construct SQL queries.

A key component of the system, the Data Discovery Tool, will be developed with the NSF grant, and will allow the Prometheus Data Publisher to automatically discover the type and structure of a database. When used in conjunction with Prometheus' existing HT//SQL-based server and a graphic user interface, it will support a wide range of systems, including proprietary/customized and open source databases, at the least cost, according to Dr. Leon Rozenblit, Prometheus Research founder and president. To meet NSF requirements, the prototype must also meet the high security and scalability st
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