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Defining Beneficiaries of Emerging Data Infrastructures Towards Effective Data Appropriation: Insights from the Swedish Space Data Lab
Luleå University of Technology, Sweden.
University of Copenhagen, Denmark.
Luleå University of Technology, Sweden.
Luleå University of Technology, Sweden.
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2021 (Engelska)Ingår i: Proc of 27th International Conference on Information and Software Technologies, ICIST 2021, Springer Science and Business Media Deutschland GmbH , 2021, Vol. 1486CCIS, s. 32-47Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The increasing collection and usage of data and data analytics has prompted development of Data Labs. These labs are (ideally) a way for multiple beneficiaries to make use of the same data in ways that are value-generating for all. However, establishing data labs requires the mobilization of various infrastructural elements, such as beneficiaries, offerings and needed analytics talent, all of which are ambiguous and uncertain. The aim of this paper is to examine how such beneficiaries can be identified and understood for the nascent Swedish space data lab. The paper reports on the development of persona descriptions that aim to support and represent the needs of key beneficiaries of earth observation data. Our main results include three thorough persona descriptions that represent the lab’s respective beneficiaries and their distinct characteristics. We discuss the implications of the personas on addressing the infrastructural challenges, as well as the lab’s design. We conclude that personas provide emerging data labs with relatively stable beneficiary archetypes that supports the further development of the other infrastructure components. More research is needed to better understand how these persona descriptions may evolve, as well as how they may influence the continuous development process of the space data lab.

Ort, förlag, år, upplaga, sidor
Springer Science and Business Media Deutschland GmbH , 2021. Vol. 1486CCIS, s. 32-47
Nyckelord [en]
Beneficiary, Data appropriation, Data infrastructure, Data lab, Persona, Data Analytics, Earth observation data, Mobilisation, Space data, Swedishs, Laboratories
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Identifikatorer
URN: urn:nbn:se:ri:diva-56941DOI: 10.1007/978-3-030-88304-1_3Scopus ID: 2-s2.0-85118139059ISBN: 9783030883034 (tryckt)OAI: oai:DiVA.org:ri-56941DiVA, id: diva2:1612902
Konferens
27th International Conference on Information and Software Technologies, ICIST 2021Kaunas14 October 2021 through 16 October 2021
Tillgänglig från: 2021-11-19 Skapad: 2021-11-19 Senast uppdaterad: 2023-06-07Bibliografiskt granskad

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Brännvall, Rickard

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