How to Inspect and Measure Data Quality about Scientific Publications: Use Case of Wikipedia and CRIS Databases

Otmane Azeroual , Włodzimierz Lewoniewski

Abstract

The quality assurance of publication data in collaborative knowledge bases and in current research information systems (CRIS) becomes more and more relevant by the use of freely available spatial information in different application scenarios. When integrating this data into CRIS, it is necessary to be able to recognize and assess their quality. Only then is it possible to compile a result from the available data that fulfills its purpose for the user, namely to deliver reliable data and information. This paper discussed the quality problems of source metadata in Wikipedia and CRIS. Based on real data from over 40 million Wikipedia articles in various languages, we performed preliminary quality analysis of the metadata of scientific publications using a data quality tool. So far, no data quality measurements have been programmed with Python to assess the quality of metadata from scientific publications in Wikipedia and CRIS. With this in mind, we programmed the methods and algorithms as code, but presented it in the form of pseudocode in this paper to measure the quality related to objective data quality dimensions such as completeness, correctness, consistency, and timeliness. This was prepared as a macro service so that the users can use the measurement results with the program code to make a statement about their scientific publications metadata so that the management can rely on high-quality data when making decisions.
Author Otmane Azeroual
Otmane Azeroual,,
-
, Włodzimierz Lewoniewski (WIiGE / KIE)
Włodzimierz Lewoniewski,,
- Department of Information Systems
Journal seriesAlgorithms, ISSN 1999-4893, (N/A 40 pkt)
Issue year2020
Vol13
No5
Pages1-18
Publication size in sheets0.85
Keywords in PolishWikipedia, CRIS, dane publikacji, jakość danych, obiektywne wymiary jakości, przetwarzanie danych badawczych, zarządzanie danymi, analiza danych, pomiar danych, kompletność, konsystencja, poprawność, aktualność, efektywne podejmowanie decyzji
Keywords in EnglishWikipedia, current research information systems (CRIS), publications data, data quality, objective quality dimensions, research data processing, data management, data analysis, data measurement, completeness, consistency, correctness, timeliness, efficient decision-making
ASJC Classification1703 Computational Theory and Mathematics; 2605 Computational Mathematics; 2612 Numerical Analysis; 2614 Theoretical Computer Science
DOIDOI:10.3390/a13050107
URL https://www.mdpi.com/1999-4893/13/5/107
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 20-05-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.687
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