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  4. Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness

Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness

Author(s)
Keywords

current research info...

research information ...

research data managem...

FAIR data principles

open science

Issue Date
October 26, 2022
Publisher
Science and Technology Publications, Lda (SciTePress)
euroCRIS
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
Type
Presentation
Abstract
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.
Description
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
URI
https://dspacecris.eurocris.org/handle/11366/2243
DOI
10.5220/0011548700003335
File(s)
Thumbnail Image
Name

KMIS2022_ANikiforova_slides_20221026.pdf

Description
PDF presentation
Size

1.88 MB

Format

Adobe PDF

Checksum (MD5)

03f2e4c55fb899c2860d2c3c77f70b45

Thumbnail Image
Name

KMIS2022_Certificate_award.pdf

Description
KMIS2022 Best Paper Award
Size

306.98 KB

Format

Adobe PDF

Checksum (MD5)

e6ad94768af2297c412b5d2335161e6f

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