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Open Data Ecosystems - an empirical investigation into an emerging industry collaboration concept

Runeson, Per LU orcid ; Olsson, Thomas and Linåker, Johan LU orcid (2021) In Journal of Systems and Software 182.
Abstract

Software systems are increasingly depending on data, particularly with the rising use of machine learning, and developers are looking for new sources of data. Open Data Ecosystems (ODE) is an emerging concept for data sharing under public licenses in software ecosystems, similar to Open Source Software (OSS). It has certain similarities to Open Government Data (OGD), where public agencies share data for innovation and transparency.
We aimed to explore open data ecosystems involving commercial actors. Thus, we organized five focus groups with 27 practitioners from 22 companies, public organizations, and research institutes. Based on the outcomes, we surveyed three cases of emerging ODE practice to further understand the concepts... (More)

Software systems are increasingly depending on data, particularly with the rising use of machine learning, and developers are looking for new sources of data. Open Data Ecosystems (ODE) is an emerging concept for data sharing under public licenses in software ecosystems, similar to Open Source Software (OSS). It has certain similarities to Open Government Data (OGD), where public agencies share data for innovation and transparency.
We aimed to explore open data ecosystems involving commercial actors. Thus, we organized five focus groups with 27 practitioners from 22 companies, public organizations, and research institutes. Based on the outcomes, we surveyed three cases of emerging ODE practice to further understand the concepts and to validate the initial findings. The main outcome is an initial conceptual model of ODEs’ value, intrinsics, governance, and evolution, and propositions for practice and further research.
We found that ODE must be value driven. Regarding the intrinsics of data, we found their type, meta-data, and legal frameworks influential for their openness. We also found the characteristics of ecosystem initiation, organization, data acquisition and openness be differentiating, which we advise research and practice to take into consideration. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Open Data, open data ecosystem, open innovation, empirical study
in
Journal of Systems and Software
volume
182
article number
111088
publisher
Elsevier
external identifiers
  • scopus:85115889980
ISSN
0164-1212
DOI
10.1016/j.jss.2021.111088
project
Open Collaborative Data as an Innovation Platform for Machine Learning Applications
ESS Data Lab
JobTech Dev Research Project - Exploring the role of Open Government Data Ecosystems and Cross-sector Collaboration of Data and Software
Road Data Lab
language
English
LU publication?
yes
id
6d38111b-26b9-4fbc-b272-16f502b82bb7
alternative location
https://arxiv.org/abs/2109.01378
date added to LUP
2021-09-02 12:07:06
date last changed
2022-07-13 02:34:20
@article{6d38111b-26b9-4fbc-b272-16f502b82bb7,
  abstract     = {{<br/>Software systems are increasingly depending on data, particularly with the rising use of machine learning, and developers are looking for new sources of data. Open Data Ecosystems (ODE) is an emerging concept for data sharing under public licenses in software ecosystems, similar to Open Source Software (OSS). It has certain similarities to Open Government Data (OGD), where public agencies share data for innovation and transparency.<br/>We aimed to explore open data ecosystems involving commercial actors. Thus, we organized five focus groups with 27 practitioners from 22 companies, public organizations, and research institutes. Based on the outcomes, we surveyed three cases of emerging ODE practice to further understand the concepts and to validate the initial findings. The main outcome is an initial conceptual model of ODEs’ value, intrinsics, governance, and evolution, and propositions for practice and further research.<br/>We found that ODE must be value driven. Regarding the intrinsics of data, we found their type, meta-data, and legal frameworks influential for their openness. We also found the characteristics of ecosystem initiation, organization, data acquisition and openness be differentiating, which we advise research and practice to take into consideration.}},
  author       = {{Runeson, Per and Olsson, Thomas and Linåker, Johan}},
  issn         = {{0164-1212}},
  keywords     = {{Open Data; open data ecosystem; open innovation; empirical study}},
  language     = {{eng}},
  month        = {{12}},
  publisher    = {{Elsevier}},
  series       = {{Journal of Systems and Software}},
  title        = {{Open Data Ecosystems - an empirical investigation into an emerging industry collaboration concept}},
  url          = {{https://lup.lub.lu.se/search/files/101943226/Open_Data_Ecosystems_JSS_extension_preprint.pdf}},
  doi          = {{10.1016/j.jss.2021.111088}},
  volume       = {{182}},
  year         = {{2021}},
}