TY - JOUR
T1 - Towards value-creating and sustainable open data ecosystems
T2 - A comparative case study and a research agenda
AU - van Loenen, B.
AU - Zuiderwijk-van Eijk, A.M.G.
AU - Vancauwenberghe, G.
AU - Lopez-Pellicer, Francisco J.
AU - Mulder, I.
AU - Alexopoulos, Charalampos
AU - Magnussen, Rikke
AU - Saddiqa, Mubashrah
AU - Dulong de Rosnay, Melanie
AU - Crompvoets, Joep
AU - Pollini, Andrea
AU - Re, Barbara
AU - Casiano Flores, Cesar
PY - 2021
Y1 - 2021
N2 - Current open data systems lag behind in their promised value creation and sustainability. The objective of the current study is twofold: 1) to investigate whether existing open data systems meet the requirements of open data ecosystems, and 2) to develop a research agenda that discusses the gaps between current open data systems on the one hand and participatory, value-creating, sustainable open data ecosystems on the other hand. The literature reveals that the main characteristics of value-creating, sustainable open data ecosystems are user-drivenness, inclusiveness, circularity, and skill-based. Our comparative case study of five open data systems in various application domains and countries highlighted that none of these systems are real open data ecosystems: they often do not balance open data supply and demand, exclude specific user groups and domains, are linear, and lack skill-training. We elaborate on a research agenda that discusses how research should address the challenge of making open data ecosystems more value-generating and sustainable.
AB - Current open data systems lag behind in their promised value creation and sustainability. The objective of the current study is twofold: 1) to investigate whether existing open data systems meet the requirements of open data ecosystems, and 2) to develop a research agenda that discusses the gaps between current open data systems on the one hand and participatory, value-creating, sustainable open data ecosystems on the other hand. The literature reveals that the main characteristics of value-creating, sustainable open data ecosystems are user-drivenness, inclusiveness, circularity, and skill-based. Our comparative case study of five open data systems in various application domains and countries highlighted that none of these systems are real open data ecosystems: they often do not balance open data supply and demand, exclude specific user groups and domains, are linear, and lack skill-training. We elaborate on a research agenda that discusses how research should address the challenge of making open data ecosystems more value-generating and sustainable.
KW - Open data ecosystem
KW - open data
KW - research agenda
KW - inclusive
KW - circular
KW - user driven
UR - http://www.scopus.com/inward/record.url?scp=85129535898&partnerID=8YFLogxK
U2 - 10.29379/jedem.v13i2.644
DO - 10.29379/jedem.v13i2.644
M3 - Article
VL - 13
SP - 1
EP - 27
JO - JeDEM eJournal of eDemocracy and Open Government
JF - JeDEM eJournal of eDemocracy and Open Government
SN - 2075-9517
IS - 2
ER -