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Collaborative Aspects of Open Data in Software Engineering
RISE Research Institutes of Sweden, Digital Systems, Mobility and Systems.ORCID iD: 0000-0001-9851-1404
Lund University, Sweden.
Delft University of Technology, Netherlands.
OpenUK, UK.
2022 (English)In: IEEE Software, ISSN 0740-7459, E-ISSN 1937-4194, Vol. 39, no 1, p. 31-35Article in journal (Refereed) Published
Abstract [en]

Engineers require high-quality data for the design and implementation of today's software, especially in the context of machine learning (ML). This puts an emphasis on the need for the publication and sharing of data from and between organizations, public as well as private. Following the paradigm of open innovation, open data provide a mechanism to increase the availability of information, offering utility and improving innovation and user choice through the inevitable interoperability this enables. 

Place, publisher, year, edition, pages
IEEE Computer Society , 2022. Vol. 39, no 1, p. 31-35
Keywords [en]
Software engineering, Design and implementations, High quality data, Open datum, Open innovation, Open Data
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:ri:diva-59101DOI: 10.1109/MS.2021.3118123Scopus ID: 2-s2.0-85122445053OAI: oai:DiVA.org:ri-59101DiVA, id: diva2:1651855
Available from: 2022-04-13 Created: 2022-04-13 Last updated: 2024-06-13Bibliographically approved

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Linåker, Johan

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