Description :  The goal of the proposed planning project is to assemble a multi-disciplinary and multi-institutional team of computer and information scientists, engineers, biologists and clinical researchers to develop an NSF-CISE-CRI large infrastructure acquisition proposal for building a heterogeneous data repository of biomedical-related data that will enhance cutting-edge computer science research in the State of Louisiana and beyond.  One of the overarching goals of the field of databases and data mining in computer science research is investigation of algorithms for the improved integration and mining of enormously large data sources. Biomedical, biological, and clinical data consists of a mixture of several data types ranging from free-text notes and instrument readings to confocal microscope images.  This data provides an excellent research infrastructure and test-bed for development of novel computing technologies, especially in the areas of data integration, data mining, database modeling, query translation, query optimization, information storage and retrieval, rule-based databases, object recognition, information relevance feedback, extraction and indexing and content-based queries.  The heterogeneous data repository will allow researchers to develop novel and enabling methods for data integration, data mining, information retrieval, and bioinformatics applications.

---

Principal Investigator:  Dua, Sumeet  --  Computer Science

---

Collaborators:  

---

Funding Agencies:  National Science Foundation

---

Amount Awarded:  $70,172

---

Start Period:  07/15/2005

End Period:  06/30/2006