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A Survey of Data Quality Measurement and Monitoring Tools [PDF]

Frontiers in Big Data, 2022
High-quality data is key to interpretable and trustworthy data analytics and the basis for meaningful data-driven decisions. In practical scenarios, data quality is typically associated with data preprocessing, profiling, and cleansing for subsequent ...
Lisa Ehrlinger, Lisa Ehrlinger, Wolfram Wöß   +2 more
doaj   +2 more sources

Evaluating data quality for blended data using a data quality framework. [PDF]

Stat J IAOS
In 2020 the U.S. Federal Committee on Statistical Methodology (FCSM) released “A Framework for Data Quality”, organized by 11 dimensions of data quality grouped among three domains of quality (utility, objectivity, integrity). This paper addresses the use of the FCSM Framework for data quality assessments of blended data. The FCSM Framework applies to
Parker JD, Mirel LB, Lee P, Mintz R, Tungate A, Vaidyanathan A.   +5 more
europepmc   +3 more sources

Harmonized Data Quality Indicators Maintain Data Quality in Long-Term Safety Studies Using Multiple Sclerosis Registries/Data Sources: Experience from the CLARION Study [PDF]

Clinical Epidemiology
Jan Hillert,1 Helmut Butzkueven,2,3 Melinda Magyari,4 Stig Wergeland,5,6 Nicholas Moore,7 Merja Soilu-Hänninen,8 Tjalf Ziemssen,9 Jens Kuhle,10 Luigi Pontieri,11 Lars Forsberg,1 Jan Harald Aarseth,5 Chao Zhu,2 Nicholas Sicignano,12 Vasili Mushnikov,13 ...
Hillert J, Butzkueven H, Magyari M, Wergeland S, Moore N, Soilu-Hänninen M, Ziemssen T, Kuhle J, Pontieri L, Forsberg L, Aarseth JH, Zhu C, Sicignano N, Mushnikov V, Bezemer I, Sabidó M   +15 more
doaj   +2 more sources

Data Quality for Software Vulnerability Datasets [PDF]

International Conference on Software Engineering, 2023
The use of learning-based techniques to achieve automated software vulnerability detection has been of longstanding interest within the software security domain.
Roland Croft, M. A. Babar, M. M. Kholoosi   +2 more
semanticscholar   +1 more source

Data Quality in Imitation Learning [PDF]

Neural Information Processing Systems, 2023
In supervised learning, the question of data quality and curation has been over-shadowed in recent years by increasingly more powerful and expressive models that can ingest internet-scale data.
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh   +2 more
semanticscholar   +1 more source

Data quality in online human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA

PLoS ONE, 2023
With the proliferation of online data collection in human-subjects research, concerns have been raised over the presence of inattentive survey participants and non-human respondents (bots).
Benjamin D Douglas, Patrick J. Ewell, M. Brauer   +2 more
semanticscholar   +1 more source

BUSCO: Assessing Genomic Data Quality and Beyond

Current Protocols, 2021
Evaluation of the quality of genomic “data products” such as genome assemblies or gene sets is of critical importance in order to recognize possible issues and correct them during the generation of new data. It is equally essential to guide subsequent or
M. Manni, M. Berkeley, M. Seppey, E. Zdobnov   +3 more
semanticscholar   +1 more source

From Data Quality to Big Data Quality [PDF]

Journal of Database Management, 2015
This chapter investigates the evolution of data quality issues from traditional structured data managed in relational databases to Big Data. In particular, the paper examines the nature of the relationship between Data Quality and several research coordinates that are relevant in Big Data, such as the variety of data types, data sources and application
BATINI, CARLO, RULA, ANISA, Scannapieco, M, VISCUSI, GIANLUIGI   +3 more
openaire   +2 more sources

Electronic health record data quality assessment and tools: a systematic review

J. Am. Medical Informatics Assoc., 2023
Objective We extended a 2013 literature review on electronic health record (EHR) data quality assessment approaches and tools to determine recent improvements or changes in EHR data quality assessment methodologies.
Abbie Lewis, N. Weiskopf, Zachary B. Abrams, R. Foraker, A. Lai, Philip R. O. Payne, Aditi Gupta   +6 more
semanticscholar   +1 more source

Overview of Data Quality: Examining the Dimensions, Antecedents, and Impacts of Data Quality

Journal of the Knowledge Economy, 2023
Competition in the business world is fierce, and poor decisions can bring disaster to firms, especially in the big data era. Decision quality is determined by data quality, which refers to the degree of data usability.
Jingran Wang, Y. Liu, Peigong Li, Zhenxing Lin, S. Sindakis, Sakshi Aggarwal   +5 more
semanticscholar   +1 more source