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Keyword

data quality framework

Description: A structured set of principles, processes, and measures for assessing, managing, and improving data quality in an organization or domain.
OpenAlex ID: keywords/data-quality-framework
Beyond Accuracy: What Data Quality Means to Data Consumers
1996 · Richard Y. Wang, Diane M. Strong · Journal of Management Information Systems · 4,658
Defining and Improving Data Quality in Medical Registries: A Literature Review, Case Study, and Generic Framework
2002 · D. G. T. Arts · Journal of the American Medical Informatics Association · 597
An Overview of Data Quality Frameworks
2019 · Corinna Cichy, Stefan Rass · IEEE Access · 244
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Data quality issues in implementing an ERP
2002 · Hongjiang Xu, Jeretta Horn Nord, et al. · Industrial Management & Data Systems · 184
Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R
2021 · Carsten Oliver Schmidt, Stephan Struckmann, et al. · BMC Medical Research Methodology · 126
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Assessing the quality of administrative data for research: a framework from the Manitoba Centre for Health Policy
2017 · Mark Smith, Lisa M Lix, et al. · Journal of the American Medical Informatics Association · 110
Developing a data quality framework for asset management in engineering organisations
2007 · Shien Lin, Jing Gao, et al. · International Journal of Information Quality · 99
Data Quality Management in the Internet of Things
2021 · Lina Zhang, Dongwon Jeong, et al. · Sensors · 76
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Defining & assessing the quality, usability, and utilization of immunization data
2019 · Peter Bloland, Adam MacNeil · BMC Public Health · 58
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Social Media and Twitter Data Quality for New Social Indicators
2020 · Camilla Salvatore, Silvia Biffignandi, et al. · Social Indicators Research · 54
Quality of input data in emergency department simulations: Framework and assessment techniques
2018 · Lien Vanbrabant, Niels Martin, et al. · Simulation Modelling Practice and Theory · 54
A Data Quality Framework for Process Mining of Electronic Health Record Data
2018 · Frank Fox, Vishal R. Aggarwal, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 51
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NADEEF
2013 · Amr Ebaid, Ahmed Elmagarmid, et al. · Proceedings of the VLDB Endowment · 49
Critical success factors for accounting information systems data quality
2026 · Xu, Hongjiang · University of Southern Queensland ePrints (University of Southern Queensland) · 48
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Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions
2024 · Emily H. Castellanos, Brett K. Wittmershaus, et al. · JCO Clinical Cancer Informatics · 47
National Health Interview Survey, COVID-19, and Online Data Collection Platforms: Adaptations, Tradeoffs, and New Directions
2021 · Stephen J. Blumberg, Jennifer D. Parker, et al. · American Journal of Public Health · 45
Improving Data Quality Through Deep Learning and Statistical Models
2017 · Wei Dai, Kenji Yoshigoe, et al. · Advances in intelligent systems and computing · 43
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Master data quality barriers: an empirical investigation
2013 · Anders Haug, Jan Stentoft Arlbjørn, et al. · Industrial Management & Data Systems · 42
The strategic management of data quality in healthcare
2008 · Karolyn A. Kerr, Tony Norris, et al. · Health Informatics Journal · 42
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Repositioning Accounting Information System Through Effective Data Quality Management: A Framework For Reducing Costs And Improving Performance
2012 · Emeka-Nwokeji · International journal of scientific and technology research · 39
Ensuring the Quality of Aggregated General Practice Data: Lessons from the Primary Care Data Quality Programme (PCDQ).
2005 · Jeremy van Vlymen, Simon de Lusignan, et al. · PubMed · 39
Moving Towards an EHR Data Quality Framework: The MIRACUM Approach
2019 · Kapsner Lorenz A., Kampf Marvin O., et al. · Studies in health technology and informatics · 37
Data quality challenges for person-generated health and wellness data
2018 · J. Codella, C. Partovian, et al. · IBM Journal of Research and Development · 37
Implications of data quality for spreadsheet analysis
1987 · Donald P. Ballou, Harold L. Pazer, et al. · ACM SIGMIS Database the DATABASE for Advances in Information Systems · 37
Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning
2023 · Madelena Y. Ng, Alaa Youssef, et al. · JAMA Network Open · 36
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Works count: 419
Citation count: 8,472
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