Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140103171
Funding Status
Closed
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Funded Activity Summary
Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems. The project proposes the Declaration, Exploration, Enhancement, Provenance (DEEP) approach to data quality management. The approach adopts a whole-of-data-cycle view towards addressing complex and emerging problems in data quality management and aims to develop novel and comprehensive mechanisms to improve data quality measurement, enforcement and monitoring. Due to the application-centric nature of DEEP, the outcomes from the project are expected to increase user understanding of data characteristics, improve interpretability of information derived from large, multi-source data sets and contribute to enhancement of data literacy levels in involved user communities.Funded Activity Details
Start Date: 2014
End Date: 12-2017
Funding Scheme: Discovery Projects
Funding Amount: $452,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Pattern Recognition and Data Mining | Database Management | Global Information Systems |
ANZSRC Socio-Economic Objective (SEO)
Application Tools and System Utilities | Electronic Information Storage and Retrieval Services
