Sustaining Open Data as a Digital Common - Design principles for Common Pool Resources applied to Open Data Ecosystems
Linåker, Johan LU
and Runeson, Per
LU
(2022)
The 18th International Symposium on Open Collaboration
- 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 and to... (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:
https://lup.lub.lu.se/record/1ff90614-7ffe-4758-a08c-00212cdc5714
- author
- Linåker, Johan
LU
and Runeson, Per
LU
- organization
- publishing date
- 2022-09-06
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 18th International Symposium on Open Collaboration
- conference name
- The 18th International Symposium on Open Collaboration
- conference location
- Madrid, Spain
- conference dates
- 2022-09-06 - 2022-09-10
- external identifiers
-
- scopus:85139110046
- DOI
- 10.1145/3555051.3555066
- project
- JobTech Dev Research Project - Exploring the role of Open Government Data Ecosystems and Cross-sector Collaboration of Data and Software
- B2B Data Sharing for Industry 4.0 Machine Learning
- language
- English
- LU publication?
- yes
- id
- 1ff90614-7ffe-4758-a08c-00212cdc5714
- alternative location
- https://arxiv.org/pdf/2208.01694.pdf
- date added to LUP
- 2022-08-15 10:26:34
- date last changed
- 2023-08-15 08:53:50
@inproceedings{1ff90614-7ffe-4758-a08c-00212cdc5714,
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 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.}},
author = {{Linåker, Johan and Runeson, Per}},
booktitle = {{Proceedings of the 18th International Symposium on Open Collaboration}},
language = {{eng}},
month = {{09}},
title = {{Sustaining Open Data as a Digital Common - Design principles for Common Pool Resources applied to Open Data Ecosystems}},
url = {{http://dx.doi.org/10.1145/3555051.3555066}},
doi = {{10.1145/3555051.3555066}},
year = {{2022}},
}