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Improving IT Support for UASs’ RDI Activities for Creating Together RDI Data Ecosystems

Authors: Ari Rouvari;

Improving IT Support for UASs’ RDI Activities for Creating Together RDI Data Ecosystems

Abstract

Research, development, and innovative activities (RDI) and education are the core businesses of the Finnish Universities of Applied Sciences (UAS). The Finnish HEIs’ Digivision ecosystem project has well-channelled the digital transformation of higher education. However, Finnish UAS does not have the same kind of digital transformation project for RDI activities. The IT barometer of Finnish HEIs CIOs 2024 shows that only 2 % of UAS CIOs' near-term development courses of action support RDI activities, compared to 23 % of measures to support education, teaching, and learning. We set up an RDI data management working group and conducted a qualitative survey to determine where this bias comes from and whether it needs to be corrected. Digital and data ecosystems studies reveal that organisations' digital transformation guides them to share data resources, thereby building service and data ecosystems, e.g. (Altendeitering et al., 2024; Oberländer et al., 2025). Thus, we must improve our communication and collaboration capabilities and IT capabilities to support and create national and international RDI data ecosystems. Consequently, I have listed three courses of action and three means of improving UAS RDI data ecosystems.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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