Overview and Framework for Data and Information Quality Research

In the recent decade, the field of data and information quality (DQ) has grown into a research area that spans multiple disciplines. The motivation here is to help understand the core topics and themes that constitute this area and to determine how those topics and themes from DQ relate to business intelligence (BI). To do so, the authors present the results of a study which mines the abstracts of articles in DQ published over the last decade. Using Latent Semantic Analysis (LSA) six core themes of DQ research are identified, as well as twelve dominant topics comprising them. Five of these topics--decision support, database design and data mining, data querying and cleansing, data integration, and DQ for analytics--all relate to BI, emphasizing the importance of research that combines DQ with BI. The DQ topics from these results are profiled with BI, and used to suggest several opportunities for researchers.

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Information Quality Research Challenge

Journal of Data and Information Quality ◽

10.1145/2856038 ◽

2016 ◽

Vol 7 (1-2) ◽

pp. 1-3 ◽

Cited By ~ 1

Author(s):

Roman Lukyanenko

Keyword(s):

Information Quality ◽

Quality Research ◽

Research Challenge

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Data and Information Quality Research

Computing Handbook, Third Edition ◽

10.1201/b16768-20 ◽

2014 ◽

pp. 16-1-16-20 ◽

Cited By ~ 2

Author(s):

Hongwei Zhu ◽

Stuart Madnick ◽

Yang Lee ◽

Richard Wang

Keyword(s):

Information Quality ◽

Quality Research

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Evaluation criteria for information quality research

International Journal of Information Quality ◽

10.1504/ijiq.2016.10004046 ◽

2016 ◽

Vol 4 (2) ◽

pp. 124

Author(s):

Ajith Kumar Parlikad ◽

Philip Woodall ◽

Alexander Borek

Keyword(s):

Information Quality ◽

Evaluation Criteria ◽

Quality Research

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Effects of Organizational Commitment and Internal Control on Accounting Information System Quality and Its Impact on Accounting Information Quality (Research on Trading Companies listed in PT. Solusi Akuntansi Indonesia)

Scholars Bulletin ◽

10.36348/sb.2019.v05i12.007 ◽

2019 ◽

Vol 05 (12) ◽

pp. 734-742

Author(s):

Devi Eryana ◽

Fardinal .

Keyword(s):

Information System ◽

Organizational Commitment ◽

Internal Control ◽

Information Quality ◽

Accounting Information ◽

System Quality ◽

Accounting Information System ◽

Quality Research ◽

Accounting Information Quality

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Heterogeneous Quality Information in Healthcare Marketplace

Encyclopedia of Healthcare Information Systems ◽

10.4018/978-1-59904-889-5.ch085 ◽

2008 ◽

pp. 670-677

Author(s):

Kimberlee Schumacher ◽

Yang W. Lee

Keyword(s):

Information Quality ◽

Quality Information ◽

Shared Understanding ◽

Market Place ◽

Quality Research ◽

Healthcare Market ◽

Research Publications ◽

Stakeholder Perspective ◽

Heterogeneous Quality ◽

Participatory Observation

In this research, we use the classical stakeholder perspective (Freeman and Reed, 1983; Butterfield, 2004) and information quality research (Lee, Pipino, Funk, and Wang, 2006) to examine what constitutes quality information amongst directly participating stakeholders in the healthcare marketplace. We argue that the role a stakeholder plays in the healthcare marketplace affects the nature of quality information each provides and uses, thus shaping the principles that dictate each stakeholder’s view of quality information. Our findings, based on participatory observation and the analysis of research publications, provide a basis for a shared understanding of quality information in the healthcare market place.

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