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Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems (2014-2016)

Abstract

The project proposes the DEEP (Declaration, Exploration, Enhancement, Provenance) 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.

Experts

Professor Helen Huang

Affiliate of ARC COE for Children a
ARC Centre of Excellence: Children and Families Over the Lifecourse
Faculty of Humanities, Arts and Social Sciences
Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Helen Huang
Helen Huang

Professor Shazia Sadiq

Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Shazia Sadiq
Shazia Sadiq