Information Quality Research Challenge: Adapting Information Quality Principles to User-Generated Content

2015 ◽  
Vol 6 (1) ◽  
pp. 1-3 ◽  
Author(s):  
Roman Lukyanenko ◽  
Jeffrey Parsons
Keyword(s):  
Information Quality ◽  
User Generated Content ◽  
Quality Research ◽  
Quality Principles ◽  
Research Challenge

Information quality research challenge

2014 ◽  
Vol 5 (1-2) ◽  
pp. 1-3 ◽  
Author(s):  
John Talburt ◽  
Therese L. Williams ◽  
Thomas C. Redman ◽  
David Becker
Keyword(s):  
Information Quality ◽  
Quality Research ◽  
Research Challenge

scholarly journals Evaluation criteria for information quality research

2016 ◽  
Vol 4 (2) ◽  
pp. 124
Author(s):  
Philip Woodall ◽  
Alexander Borek ◽  
Ajith Kumar Parlikad
Keyword(s):  
Information Quality ◽  
Evaluation Criteria ◽  
Quality Research

Overview and Framework for Data and Information Quality Research

2009 ◽  
Vol 1 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Stuart E. Madnick ◽  
Richard Y. Wang ◽  
Yang W. Lee ◽  
Hongwei Zhu
Keyword(s):  
Information Quality ◽  
Quality Research

scholarly journals Citizen Science: An Information Quality Research Frontier

2019 ◽  
Vol 22 (4) ◽  
pp. 961-983 ◽  
Author(s):  
Roman Lukyanenko ◽  
Andrea Wiggins ◽  
Holly K. Rosser
Keyword(s):  
Citizen Science ◽  
Information Quality ◽  
Quality Research

Discovering Data and Information Quality Research Insights Gained through Latent Semantic Analysis

2012 ◽  
Vol 3 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Roger Blake ◽  
Ganesan Shankaranarayanan
Keyword(s):  
Business Intelligence ◽  
Latent Semantic Analysis ◽  
Information Quality ◽  
Semantic Analysis ◽  
Recent Decade ◽  
Research Area ◽  
Quality Research ◽  
The Core ◽  
Data Querying ◽  
Do So

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.

scholarly journals Understanding quality – conceptualization of the fundamental concepts of quality

2017 ◽  
Vol 9 (3/4) ◽  
pp. 251-268 ◽  
Author(s):  
Juhani Anttila ◽  
Kari Jussila
Keyword(s):  
Design Methodology ◽  
Review Paper ◽  
Scientific Basis ◽  
Historical Background ◽  
Original Research ◽  
Quality Research ◽  
Content Type ◽  
Research Education ◽  
Quality Principles ◽  
Professional Contexts

Purpose The purpose of this study is to challenge bridging the gap between the problems of the existing quality profession and the existing and emerging challenges of quality with regard to people, organizations and societies, hence broadening the traditional coverage of quality from the organizations to these three hierarchial societal levels. Design/methodology/approach Through professional involvement with researching, developing and practicing quality principles, methodologies and solutions in practice for decades, the authors became convinced that the prevailing conceptual thinking of quality is not based on the valid scientific basis and contains the problem of superficiality. Hence also the practical quality applications are fragmented and vague. As a reaction to the situation, the authors clarify the conceptual essence of quality, its historical background and usage in today’s everyday and professional contexts. Findings In this article, the authors present a solid scientific baseline for the ontological fundamentals of the quality discipline, on which also the epistemological pondering can be built, hence establishing the robust foundation for the practical quality management applications. Originality/value This conceptual article is an original research and review paper, contributing to the revival process of the quality profession in its entirety, including quality research, education and practices. The study is based on the authors’ multidisciplinary experience, theoretical reflecting and recognized references.

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