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Investigating the FAIRness of Science and Technology Open Data: A Focus in the Scandinavian Countries
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-7520-695x
Linnaeus University, Faculty of Technology, Department of Informatics.ORCID iD: 0000-0001-8635-4069
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0003-0512-6350
Linnaeus University, Faculty of Technology, Department of Informatics. Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-0199-2377
2022 (English)In: HCI International 2022 Posters. HCII 2022.: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part I / [ed] Stephanidis, C., Antona, M., Ntoa, S., Switzerland: Springer, 2022, Vol. 1580, p. 276-283Conference paper, Published paper (Refereed)
Sustainable development
SDG 9: Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation
Abstract [en]

Providing researchers and other users access to data can accelerate knowledge discovery and enhance research transparency and reliability. In this context, the FAIR vision was formulated with the goal to optimize data sharing and reuse by humans and machines. In this paper, we investigate Scandinavian open data portals using FAIR data principles. We review and analyze the current state of datasets categorized as “Science and Technology” since in our view, such data is particularly relevant for reusability. Additionally, this study aims to further highlight and understand any specific challenges related to suitability of scientific data according to FAIR principles. Our findings highlight that, while the possibilities of open data from the science and technology domain are very promising, there are still a plethora of challenges we’ve discovered, and that need to be tackled in order to truly leverage the benefits.

Place, publisher, year, edition, pages
Switzerland: Springer, 2022. Vol. 1580, p. 276-283
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937
Keywords [en]
Open data, FAIR, Science and technology, Scandinavian context
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-114752DOI: 10.1007/978-3-031-06417-3_38Scopus ID: 2-s2.0-85145193925ISBN: 9783031064173 (electronic)OAI: oai:DiVA.org:lnu-114752DiVA, id: diva2:1675553
Conference
24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022
Available from: 2022-06-23 Created: 2022-06-23 Last updated: 2023-05-11Bibliographically approved

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Dalipi, FisnikFerati, MexhidKurti, ArianitKastrati, Zenun

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