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

Institutionen för datavetenskap

Forskningsoutput: Tidskriftsbidrag › Debate/Note/Editorial

Sammanfattning

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.

Originalspråk	engelska
Sidor (från-till)	31-35
Tidskrift	IEEE Software
Volym	39
Nummer	1
DOI	https://doi.org/10.1109/MS.2021.3118123
Status	Published - 2021 dec. 23

Ämnesklassifikation (UKÄ)

Programvaruteknik

Tillgång till dokument

10.1109/MS.2021.3118123

1 Rapport

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 s. (Teknisk rapport; nr. 109)
Forskningsoutput: Bok/rapport › Rapport › Populärvetenskap

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Fil

1 Avslutade
1 Aktiva

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
Projekt: Forskning
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
Projekt: Forskning

Citera det här

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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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year = "2021",

month = dec,

day = "23",

doi = "10.1109/MS.2021.3118123",

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AU - Runeson, Per

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Y1 - 2021/12/23

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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DO - 10.1109/MS.2021.3118123

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JF - IEEE Software

SN - 0740-7459

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ER -

Collaborative Aspects of Open Data in Software Engineering

Sammanfattning

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Forskningsoutput

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

Projekt

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

Citera det här