scholarly journals Evaluation criteria for information quality research

2016 ◽  
Vol 4 (2) ◽  
pp. 124
Author(s):  
Ajith Kumar Parlikad ◽  
Philip Woodall ◽  
Alexander Borek
2016 ◽  
Vol 4 (2) ◽  
pp. 124
Author(s):  
Philip Woodall ◽  
Alexander Borek ◽  
Ajith Kumar Parlikad

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

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

2019 ◽  
Vol 22 (4) ◽  
pp. 961-983 ◽  
Author(s):  
Roman Lukyanenko ◽  
Andrea Wiggins ◽  
Holly K. Rosser

2012 ◽  
Vol 3 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Roger Blake ◽  
Ganesan Shankaranarayanan

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.


2014 ◽  
pp. 16-1-16-20 ◽  
Author(s):  
Hongwei Zhu ◽  
Stuart Madnick ◽  
Yang Lee ◽  
Richard Wang

2021 ◽  
pp. 183335832199268
Author(s):  
Eric Afful-Dadzie ◽  
Anthony Afful-Dadzie ◽  
Sulemana Bankuoru Egala

Background: Social media is used in health communication by individuals, health professionals, disease centres and other health regulatory bodies. However, varying degrees of information quality are churned out daily on social media. This review is concerned with the quality of Social Media Health Information (SMHI). Objective: The review sought to understand how SMHI quality issues have been framed and addressed in the literature. Health topics, users and social media platforms that have raised health information quality concerns are reviewed. The review also looked at the suitability of existing criteria and instruments used in evaluating SMHI and identified gaps for future research. Method: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the forward chaining strategy were used in the document search. Data were sourced according to inclusion criteria from five academic databases, namely Scopus, Web of Science, Cochrane Library, PubMed and MEDLINE. Results: A total of 93 articles published between 2000 and 2019 were used in the review. The review revealed a worrying trend of health content and communication on social media, especially of cancer, dental care and diabetes information on YouTube. The review further discovered that the Journal of the American Medical Association, the DISCERN and the Health on the Net Foundation, which were designed before the advent of social media, continue to be used as quality evaluation instruments for SMHI, even though technical and user characteristics of social media differ from traditional portals such as websites. Conclusion: The study synthesises varied opinions on SMHI quality in the literature and recommends that future research proposes quality evaluation criteria and instruments specifically for SMHI.


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