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Methodologies for data quality assessment and improvement

Carlo Batini, Cinzia Cappiello, Chiara Francalanci, Andrea Maurino
2009 ACM Computing Surveys  
The literature provides a wide range of techniques to assess and improve the quality of data.  ...  Due to the diversity and complexity of these techniques, research has recently focused on defining methodologies that help the selection, customization, and application of data quality assessment and improvement  ...  methodology; (2) the strategies and techniques that are adopted in the methodology for assessing and improving data quality levels; (3) the dimensions and metrics that are chosen in the methodology to  ... 
doi:10.1145/1541880.1541883 fatcat:xlstbbgxnng2npc2sq6ou3kvbm

Development of a complex approach for evaluation of statistical data

Svetlana Jesiļevska, Daina Šķiltere
2019 Statistical Journal of the IAOS  
The quality of statistical data is essential for effective decision-making.  ...  The problem of evaluating the quality of statistical data is not a new paradigm as rapid methodological changes and globalization complicate the generation of high quality statistical data in all areas  ...  For improvement of data definitions and assessment methodology the most essential data quality assessment indicators should be found out. S. Jesil › evska and D.  ... 
doi:10.3233/sji-180444 fatcat:dnfi3utomzhdnjnr5kkgkcdf6q

Does updating improve the methodological and reporting quality of systematic reviews?

Beverley Shea, Maarten Boers, Jeremy M Grimshaw, Candyce Hamel, Lex M Bouter
2006 BMC Medical Research Methodology  
Further improvement of quality of reporting is possible. There is room for improvement of methodological quality as well.  ...  We calculated mean differences in percentage, 95% confidence intervals and p-values for each of the individual items and the overall methodological quality score of the updated and pre-updated versions  ...  Acknowledgements The authors would like to acknowledge Daniel Francis for his assistance with the quality assessment, Ron Habinski, Ashley Porter and Crystal Huntly-Ball for their comments on earlier drafts  ... 
doi:10.1186/1471-2288-6-27 pmid:16772030 pmcid:PMC1569863 fatcat:ppdm64s7onb6xffxhwxcy77ufm

Data Quality Scale for Data Quality Assessment: Methodological Guidelines and Practical Implementation

Daina Šķiltere, Svetlana Jesiļevska
2018 Humanities and Social Sciences Latvia  
The methodology consists of data quality dimensions and its definitions, indicators for assessment of data quality dimensions and experts' evaluations.  ...  In this article, the complex methodology for the entire data quality treatment -the Data Quality Scale (DQS) is proposed. The Data Quality Scale (DQS) is developed by Dr. oec.  ...  Regularity in performing: -evaluation of the quality of statistical studies -supervision and improvement of scientifically sound data collection and processing methodology -monitoring and improving the  ... 
doi:10.22364/hssl.26.2.4 fatcat:cbpca7i4rzdwrhadvewrm6izse

An Overview of Data Quality Frameworks

Corinna Cichy, Stefan Rass
2019 IEEE Access  
Based on its impact on businesses, the quality of data is commonly viewed as a valuable asset. The literature comprises various techniques for defining, assessing, and improving data quality.  ...  This paper surveys data quality frameworks in a comparative way regarding the definition, assessment, and improvement of data quality with a focus on methodologies that are applicable in a wide range of  ...  For example, [11] review a few well-known and established methodologies for the assessment and improvement of data quality for different types of data.  ... 
doi:10.1109/access.2019.2899751 fatcat:2bacx2don5dp7nq7r4f5egwv4i

Book Review: Data Quality: Concepts, Methodologies and Techniques by C. Batini and M. Scannapieco

Heather Maguire
2007 International Journal of Information Quality  
and improvement of data quality.  ...  Purpose The authors set out to convince the reader of the importance of data quality to decisional and operational processes and to describe current techniques and methodologies used to address the measurement  ...  The book begins with an explanation of the meaning of data quality and of its multidimensional nature together with the need for more sophisticated management of data quality following the advent of wide  ... 
doi:10.1504/ijiq.2007.016717 fatcat:zes7xzquu5hwzcuep34pmvproq

Data Quality Management in the Internet of Things

Lina Zhang, Dongwon Jeong, Sukhoon Lee
2021 Sensors  
Many methodologies and frameworks include techniques for defining, assessing, and improving data quality.  ...  This paper surveys data quality frameworks and methodologies for IoT data, and related international standards, comparing them in terms of data types, data quality definitions, dimensions and metrics,  ...  [6] , summarize 13 methodologies for DQ assessment and improvement up to 2009, and (2) Cichy et al.  ... 
doi:10.3390/s21175834 pmid:34502723 pmcid:PMC8434542 fatcat:bdh7xiobe5dapd5luyqerpljcq

Data quality program management for digital shadows of products

Günther Schuh, Eric Rebentisch, Michael Riesener, Thorben Ipers, Christian Tönnes, Merle-Hendrikje Jank
2019 Procedia CIRP  
However, there are currently no comprehensive methodologies for the assessment and improvement of the data quality of digital shadows.  ...  However, there are currently no comprehensive methodologies for the assessment and improvement of the data quality of digital shadows.  ...  Affairs and Energy.  ... 
doi:10.1016/j.procir.2020.01.027 fatcat:6ndtosv6knfmhmrrfatt6shrs4

Methodological proposal for the application of international benchmarking in order to assess the quality of virtual higher education

Renata Marciniak
2015 Revista de Universidad y Sociedad del Conocimiento  
It is therefore concluded that the proposed benchmarking methodology is adequate in order to assess and improve the quality of virtual higher education.  ...  The benchmarking performed has allowed the author to obtain solid results in order to draw up and implement a complete action plan for improvement, which will make it possible to increase, in the short  ...  For this reason, prior to collecting that data, the quality of the virtual education offered by PUW was assessed in order to increase the possibility of detecting all areas to be improved.  ... 
doi:10.7238/rusc.v12i3.2163 fatcat:ulhrspq5ojextbmttexzdsb3s4

A Questionnaire-Based Data Quality Methodology

Reza Vaziri
2012 International Journal of Database Management Systems  
In order to assess and improve data quality, "methodologies" have been defined.  ...  Data quality methodologies are sets of guidelines and techniques that are designed for measurement assessment, and perhaps, improving data quality in a given application or organization.  ...  Fourth, as useful and practical AIMQ might be it only covers the measurement/assessment part of a methodology, and does not suggest any strategies for improvement.  ... 
doi:10.5121/ijdms.2012.4204 fatcat:wlaskpfnrbev7kbjoiqwm4hqou

An Effective and Secure Quality Assurance System for a Computer Science Program

Mohammad Alkhatib
2022 Computer systems science and engineering  
This research proposes an effective methodology for LOs assessment and continuous improvement processes.  ...  The proposed approach ensures more accurate and reliable LOs assessment results and provides systematic way for utilizing those results in the continuous quality improvement.  ...  LOs Assessment Results and Improvement Plans at Program Level The majority of current assessment methodologies depends on developing KPIs and rubrics for each PLO and then assessing students' performance  ... 
doi:10.32604/csse.2022.021398 fatcat:ewtfvvparjetphb2fwfnyo7dsq

Improving data quality in the linked open data: a survey

A Hadhiatma
2018 Journal of Physics, Conference Series  
Therefore, it needs (1) a standard for data quality assessment and evaluation which is more appropriate to the LOD; (2) a framework of methods based on statistical relational learning that can improve  ...  Based on review from papers and journals, addressing data quality requires some standards functioning to (1) identification of data quality problems, (2) assessment of data quality for a given context,  ...  for improving data quality in the LOD, although several data quality assessment methodologies have been proposed.  ... 
doi:10.1088/1742-6596/978/1/012026 fatcat:if2r4cdvtzgv5hcvfer2n6t7sy

Systematic review adherence to methodological or reporting quality

Kusala Pussegoda, Lucy Turner, Chantelle Garritty, Alain Mayhew, Becky Skidmore, Adrienne Stevens, Isabelle Boutron, Rafael Sarkis-Onofre, Lise M. Bjerre, Asbjørn Hróbjartsson, Douglas G. Altman, David Moher
2017 Systematic Reviews  
Mechanisms to improve adherence to established reporting guidelines and methodological assessment tools are needed to improve the quality of SRs.  ...  ) and Overview Quality Assessment Questionnaire (OQAQ) quality assessment tools as evaluated in methodological overviews.  ...  We would also like to thank Raymond Daniel for his support in running the search, identifying duplicates, and identifying studies for screening.  ... 
doi:10.1186/s13643-017-0527-2 pmid:28720117 pmcid:PMC5516390 fatcat:2pe52tqfrrbdjk5h7s5ypdeeta

User-driven quality evaluation of DBpedia

Amrapali Zaveri, Dimitris Kontokostas, Mohamed A. Sherif, Lorenz Bühmann, Mohamed Morsey, Sören Auer, Jens Lehmann
2013 Proceedings of the 9th International Conference on Semantic Systems - I-SEMANTICS '13  
We present a methodology for assessing the quality of linked data resources, which comprises of a manual and a semi-automatic process.  ...  With this study, we not only aim to assess the quality of this sample of DBpedia resources but also adopt an agile methodology to improve the quality in future versions by regularly providing feedback  ...  ASSESSMENT METHODOLOGY In this section, we describe a generalized methodology for the assessment and subsequent data quality improvement of resources belonging to a dataset.  ... 
doi:10.1145/2506182.2506195 dblp:conf/i-semantics/ZaveriKSBMAL13 fatcat:loseqbfq3zezbb4fysujsi5kl4

Dual Assessment of Data Quality in Customer Databases

Adir Even, G. Shankaranarayanan
2009 Journal of Data and Information Quality  
This study describes a methodology for quantitatively assessing both impartial and contextual data quality in large datasets.  ...  Quantitative assessment of data quality is critical for identifying the presence of data defects and the extent of the damage due to these defects.  ...  The methodology for dual assessment of quality in datasets described here accounts for the presence of data defects in that dataset, assuming that costs for improving quality increase with the number of  ... 
doi:10.1145/1659225.1659228 dblp:journals/jdiq/EvenS09 fatcat:3u2o52mm35dkdi5zfd22wbqvvi
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