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Challenges and Opportunities in Open Data Collaboration – a focus group study

Runeson, Per LU and Olsson, Thomas (2020)
Abstract
Data-driven software is becoming prevalent, especially with the advent of machine learning and artificial intelligence. With data-driven systems come both challenges - to keep collecting and maintaining high quality data - and opportunities - open innovation by sharing data with others. We propose Open Data Collaboration (ODC) to describe pecuniary and non-pecuniary sharing of open data, similar to Open Source Software (OSS) and in contrast to Open Government Data (OGD), where public authorities share data. To understand challenges and opportunities with ODC, we organized five focus groups with in total 27 practitioners from 22 companies, public organizations, and research institutes. In the discussions, we observed a general interest in... (More)
Data-driven software is becoming prevalent, especially with the advent of machine learning and artificial intelligence. With data-driven systems come both challenges - to keep collecting and maintaining high quality data - and opportunities - open innovation by sharing data with others. We propose Open Data Collaboration (ODC) to describe pecuniary and non-pecuniary sharing of open data, similar to Open Source Software (OSS) and in contrast to Open Government Data (OGD), where public authorities share data. To understand challenges and opportunities with ODC, we organized five focus groups with in total 27 practitioners from 22 companies, public organizations, and research institutes. In the discussions, we observed a general interest in the subject, both from private companies and public authorities. We also noticed similarities in attitudes to open innovation practices, i.e. initial resistance which gradually turned into interest. While several of the participants were experienced in open source software, no had shared data openly. Based on the findings, we identify challenges which we set out to continue addressing in future research. (Less)
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type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
host publication
46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
publisher
IEEE Computer Society
project
Open Collaborative Data as an Innovation Platform for Machine Learning Applications
language
English
LU publication?
yes
id
fe212645-9c74-43d9-a8ea-4d4068f9ef0c
date added to LUP
2020-06-11 08:59:38
date last changed
2020-08-26 10:48:10
@inproceedings{fe212645-9c74-43d9-a8ea-4d4068f9ef0c,
  abstract     = {Data-driven software is becoming prevalent, especially with the advent of machine learning and artificial intelligence. With data-driven systems come both challenges - to keep collecting and maintaining high quality data - and opportunities - open innovation by sharing data with others. We propose Open Data Collaboration (ODC) to describe pecuniary and non-pecuniary sharing of open data, similar to Open Source Software (OSS) and in contrast to Open Government Data (OGD), where public authorities share data. To understand challenges and opportunities with ODC, we organized five focus groups with in total 27 practitioners from 22 companies, public organizations, and research institutes. In the discussions, we observed a general interest in the subject, both from private companies and public authorities. We also noticed similarities in attitudes to open innovation practices, i.e. initial resistance which gradually turned into interest. While several of the participants were experienced in open source software, no had shared data openly. Based on the findings, we identify challenges which we set out to continue addressing in future research.},
  author       = {Runeson, Per and Olsson, Thomas},
  booktitle    = {46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)},
  language     = {eng},
  month        = {05},
  publisher    = {IEEE Computer Society},
  title        = {Challenges and Opportunities in Open Data Collaboration – a focus group study},
  url          = {https://lup.lub.lu.se/search/ws/files/80500235/main_preprint.pdf},
  year         = {2020},
}