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Title: Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness
Authors: Azeroual, Otmane 
Schöpfel, Joachim 
Pölönen, Janne 
Nikiforova, Anastasija 
Keywords: current research information systems;research information management;research data management;FAIR data principles;open science
Issue Date: 26-Oct-2022
Publisher: Science and Technology Publications, Lda (SciTePress)
Source: Azeroual O, Schöpfel, J, Pölönen, J and Nikiforova A. (2022). Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness. In: Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-614-9, ISSN 2184-3228, pages 63-71. DOI: 10.5220/0011548700003335
Conference: 14th International Conference on Knowledge Management and Information Systems (KMIS2022) 
Digitization in the research domain refers to the increasing integration and analysis of research information in the process of research data management. However, it is not clear whether it is used and, more importantly, whether the data are of sufficient quality, and value and knowledge could be extracted from them. FAIR principles (Findability, Accessibility, Interoperability, Reusability) represent a promising asset to achieve this. Since their publication, they have rapidly proliferated and have become part of (inter-)national research funding programs. A special feature of the FAIR principles is the emphasis on the legibility, readability, and understandability of data. At the same time, they pose a prerequisite for data for their reliability, trustworthiness, and quality. In this sense, the importance of applying FAIR principles to research information and respective systems such as Current Research Information Systems (CRIS), which is an underrepresented subject for research, is the subject of the paper. Supporting the call for the need for a ”one-stop-shop and register-once-use-many approach”, we argue that CRIS is a key component of the research infrastructure landscape, directly targeted and enabled by operational application and the promotion of FAIR principles. We hypothesize that the improvement of FAIRness is a bidirectional process, where CRIS promotes FAIRness of data and infrastructures, and FAIR principles push further improvements to the underlying CRIS.
Presentation by A. Nikiforova (23 slides) and paper (9 pages) contributed to 14th International Conference on Knowledge Management and Information Systems (KMIS2022) held Oct 24-26 in Valletta, Malta.-- Winner of Best Paper Award at the KMIS2022 conference.

Full-text conference paper offered under a CC BY-NC-ND 4.0 licence
DOI: 10.5220/0011548700003335
Appears in Collections:Outreach: Papers

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KMIS2022_ANikiforova_slides_20221026.pdfPDF presentation1.93 MBAdobe PDF
KMIS2022_Azeroual-Schopfel-Polonen-Nikiforova_FAIR-principles.pdfFull-text conference paper121.57 kBAdobe PDF
KMIS2022_Certificate_award.pdfKMIS2022 Best Paper Award306.98 kBAdobe PDF
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