Collaborative Aspects of Open Data in Software Engineering
Johan Linaker (Research Institutes of Sweden RISE)
Per Runeson (Lund University)
A.M.G. Zuiderwijk-van Eijk (TU Delft - Information and Communication Technology)
Amanda Brock (OpenUK)
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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.