Abstract
We present BIODQ, a model for estimating and managing the quality of biological data in genomics repositories. BIODQ uses our Quality Estimation Model (QEM) which has been implemented as part of the Quality Management Architecture (QMA). The QEM consists of a set of quality dimensions and their quantitative measures. The QMA combines a series of software components that enable the integration of QEM with existing genomics repositories. The basis of our experimental evaluation is a research study conducted among biologists. Evaluation results show that the QEM dimensions and estimations are biologically-relevant and useful for discriminating high quality from low quality data. The most relevant capabilities of the QMA are also presented.
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Martinez, A., Hammer, J., Ranka, S. (2008). BioDQ: Data Quality Estimation and Management for Genomics Databases. In: Măndoiu, I., Sunderraman, R., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2008. Lecture Notes in Computer Science(), vol 4983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79450-9_44
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DOI: https://doi.org/10.1007/978-3-540-79450-9_44
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