Collaborative Aspects of Open Data in Software Engineering

Johan Linaker, Per Runeson, A.M.G. Zuiderwijk-van Eijk, Amanda Brock

Research output: Contribution to journalReview articlepeer-review

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Abstract

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.
Original languageEnglish
Pages (from-to)31-35
Number of pages5
JournalIEEE Software
Volume39
Issue number1
DOIs
Publication statusPublished - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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