The
BioDQ Project
§ Project Description
The goal
of the project is to develop a model for estimating and managing the quality
of biological data stored in genomics repositories. Our Quality Estimation
Model (QEM) comprises a set of measurable quality dimensions, and a set of
quantitative measures that can be systematically computed to provide a score
for each quality dimension. QEM can be integrated to existing genomics
repositories by means of the Quality Management Architecture (QMA). Research Study
A research study among several domain experts was
conducted as part of the BioDQ project. The purpose of the research study was
to collect experts’ assessments about the quality of genomic records. This
information was later used to evaluate the validity and usefulness of our quality
estimation model. A detailed report of the answers collected in this study can
be found in Alexandra’s Doctoral Dissertation. |
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§ People
Dr.
Hammer and Dr. Ranka are faculty members of the Computer and Information Science and
Engineering Department at the University of Florida. Ms. Martinez is a
doctoral student in the same Department. |
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§
Publications
A.
Martinez, J. Hammer, and S. Ranka. “BioDQ: Data Quality Estimation and
Management for Genomics Databases.” Accepted for ISBRA’08, to appear in
Lecture Notes in Bioinformatics. A.
Martinez. “BIODQ:
A Model for Data Quality Estimation and Management in Biological Databases.”
Doctoral Dissertation, A.
Martinez, J. Hammer, and S. Ranka. “A
Model for Quality Estimation in Biological Data Sources." CISE
Technical Report REP-2007-293, January, 2007. A. Martinez and J. Hammer. “A Data
Quality Model for Genomic Repositories.” |
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