Data quality assessment-Reference-Cited by-同舟云学术

Data quality assessment

Published:2002-04 Issue:4 Volume:45 Page:211-218
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Pipino Leo L.¹,Lee Yang W.²,Wang Richard Y.³

Affiliation:

1. University of Massachusetts Lowell

2. Northeastern University, Boston, MA

3. Boston University and MIT Sloan School of Management, Cambridge, MA

Abstract

How good is a company's data quality? Answering this question requires usable data quality metrics. Currently, most data quality measures are developed on an ad hoc basis to solve specific problems [6, 8], and fundamental principles necessary for developing usable metrics in practice are lacking. In this article, we describe principles that can help organizations develop usable data quality metrics.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/505248.506010

Reference12 articles.

1. Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems

2. Modeling Information Manufacturing Systems to Determine Information Product Quality

3. Relational database

4. CRG Information Quality Assessment (IQA) Software Tool. Cambridge Research Group Cambridge MA 1997. CRG Information Quality Assessment (IQA) Software Tool. Cambridge Research Group Cambridge MA 1997.

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