HDQ: A meta-model for the quality improvement of heterogeneous data

Author

Barone, Daniele ; Cabitza, Federico ; Grega, Simone

Author_Institution

Dipt. di Inf. Sistemistica e Comunicazione, Univ. di Milano-Bicocca, Milan

Volume

1

fYear

2007

fDate

28-31 Oct. 2007

Firstpage

418

Lastpage

423

Abstract

In this paper, we outline the HDQ meta-model and exemplify its application to a realistic organizational scenario within a methodology for assessing and improving corporate data quality. The main aim of the HDQ meta-model is to support the modeling of the information resources used within an organization towards the application of comprehensive but yet lean methodologies of data quality improvement. The approach allowed by HDQ meta-model is aimed at addressing the scalable and incremental management of the quality of data represented in either structured, semi- structure or unstructured information sources.

Keywords

business data processing; meta data; corporate data quality; data quality improvement; heterogeneous data; information resources; realistic organizational scenario; Business; Communications technology; Control systems; Customer satisfaction; Information resources; Information systems; Large-scale systems; Management information systems; Quality management; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Information Management, 2007. ICDIM '07. 2nd International Conference on

Conference_Location

Lyon

Print_ISBN

978-1-4244-1475-8

Electronic_ISBN

978-1-4244-1476-5

Type

conf

DOI

10.1109/ICDIM.2007.4444259

Filename

4444259