Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems

该项目提出了数据质量管理的声明、探索、增强、来源（DEEP）方法。该方法采用了一个全数据周期的观点，以解决数据质量管理中复杂和新出现的问题，并旨在制定新的全面机制，以改善数据质量的衡量、执行和监测。由于深度环境方案以应用为中心的性质，预计该项目的成果将增加用户对数据特征的了解，提高从大型多源数据集获得的信息的可解释性，并有助于提高有关用户群体的数据识字水平。

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.