Collaborative Aspects of Open Data in Software Engineering

Johan Linåker; Per Runeson; Anneke Zuijderwijk; Amanda Brock

doi:10.1109/MS.2021.3118123

Collaborative Aspects of Open Data in Software Engineering

Johan Linåker, Per Runeson, Anneke Zuijderwijk, Amanda Brock

Department of Computer Science

Research output: Contribution to journal › Debate/Note/Editorial

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 language	English
Pages (from-to)	31-35
Journal	IEEE Software
Volume	39
Issue number	1
DOIs	https://doi.org/10.1109/MS.2021.3118123
Publication status	Published - 2021 Dec 23

Subject classification (UKÄ)

Software Engineering

Access to Document

10.1109/MS.2021.3118123

1 Report

Rekommendationer för samverkan och delning av data, teknik och kunskap inom myndighetsdrivna öppna data-ekosystem
Linåker, J. & Runeson, P., 2022 Jan 25, Department of Computer Science, Lund University. 46 p. (Teknisk rapport; no. 109)
Research output: Book/Report › Report › Popular science

Open Access
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1 Finished
1 Active

B2B Data Sharing for Industry 4.0 Machine Learning
Runeson, P., Kowalkowski, C., Malysh, K. & Ahmed, T.
Swedish Government Agency for Innovation Systems (Vinnova)
2021/03/01 → 2026/02/28
Project: Research
JobTech Dev Research Project - Exploring the role of Open Government Data Ecosystems and Cross-sector Collaboration of Data and Software
Linåker, J. & Runeson, P.
2019/10/01 → 2021/12/31
Project: Research

Cite this

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title = "Collaborative Aspects of Open Data in Software Engineering",

abstract = "Engineers require high-quality data for the design and implementation of today{\textquoteright}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.",

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AU - Zuijderwijk, Anneke

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N2 - 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.

AB - 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.

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Collaborative Aspects of Open Data in Software Engineering

Abstract

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

Rekommendationer för samverkan och delning av data, teknik och kunskap inom myndighetsdrivna öppna data-ekosystem

Projects

B2B Data Sharing for Industry 4.0 Machine Learning

JobTech Dev Research Project - Exploring the role of Open Government Data Ecosystems and Cross-sector Collaboration of Data and Software

Cite this