Influence of Information Quality via ...
Document type :
Compte-rendu et recension critique d'ouvrage
DOI :
Title :
Influence of Information Quality via Implemented German RCD Standard in Research Information Systems
Author(s) :
Azeroual, Otmane [Auteur]
Schopfel, Joachim [Auteur]
Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]
Ivanović, Dragan [Auteur]
Faculty of Technical Sciences [Novi Sad]
Schopfel, Joachim [Auteur]

Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]
Ivanović, Dragan [Auteur]
Faculty of Technical Sciences [Novi Sad]
Journal title :
Data
Publisher :
MDPI
Publication date :
2020
ISSN :
2306-5729
English keyword(s) :
research information system
data quality
research core dataset
data quality
research core dataset
HAL domain(s) :
Sciences de l'Homme et Société/Sciences de l'information et de la communication
Informatique [cs]/Base de données [cs.DB]
Informatique [cs]/Base de données [cs.DB]
English abstract : [en]
With the steady increase in the number of data sources to be stored and processed by higher education and research institutions, it has become necessary to develop Research Information Systems, which will store this research ...
Show more >With the steady increase in the number of data sources to be stored and processed by higher education and research institutions, it has become necessary to develop Research Information Systems, which will store this research information in the long term and make it accessible for further use, such as reporting and evaluation processes, institutional decision making and the presentation of research performance. In order to retain control while integrating research information from heterogeneous internal and external data sources and disparate interfaces into RIS and to maximize the benefits of the research information, ensuring data quality in RIS is critical. To facilitate a common understanding of the research information collected and to harmonize data collection processes, various standardization initiatives have emerged in recent decades. These standards support the use of research information in RIS and enable compatibility and interoperability between different information systems. This paper examines the process of securing data quality in RIS and the impact of research information standards on data quality in RIS. We focus on the recently developed German Research Core Dataset standard as a case of application.Show less >
Show more >With the steady increase in the number of data sources to be stored and processed by higher education and research institutions, it has become necessary to develop Research Information Systems, which will store this research information in the long term and make it accessible for further use, such as reporting and evaluation processes, institutional decision making and the presentation of research performance. In order to retain control while integrating research information from heterogeneous internal and external data sources and disparate interfaces into RIS and to maximize the benefits of the research information, ensuring data quality in RIS is critical. To facilitate a common understanding of the research information collected and to harmonize data collection processes, various standardization initiatives have emerged in recent decades. These standards support the use of research information in RIS and enable compatibility and interoperability between different information systems. This paper examines the process of securing data quality in RIS and the impact of research information standards on data quality in RIS. We focus on the recently developed German Research Core Dataset standard as a case of application.Show less >
Language :
Anglais
Popular science :
Non
Collections :
Source :
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