Towards value-creating and sustainable open data ecosystems: A comparative case study and a research agenda

Q2 Social Sciences
B. Van Loenen, Anneke Zuiderwijk, G. Vancauwenberghe, F. J. Lopez-Pellicer, I. Mulder, C. Alexopoulos, Rikke Magnussen, Mubashrah Saddiqa, Melanie Dulong de Rosnay, J. Crompvoets, A. Polini, B. Re, Cesar Casiano Flores
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引用次数: 18

Abstract

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.
迈向创造价值和可持续的开放数据生态系统:比较案例研究和研究议程
目前的开放数据系统在其承诺的价值创造和可持续性方面落后。本研究的目的有两个:1)调查现有的开放数据系统是否满足开放数据生态系统的要求;2)制定一个研究议程,讨论当前开放数据系统与参与性、价值创造、可持续的开放数据生态系统之间的差距。文献揭示了价值创造、可持续开放数据生态系统的主要特征是用户驱动、包容性、循环性和技能基础。我们对不同应用领域和国家的五个开放数据系统的比较案例研究强调,这些系统都不是真正的开放数据生态系统:它们往往不能平衡开放数据的供需,排除特定的用户群体和领域,是线性的,缺乏技能培训。我们详细阐述了一个研究议程,讨论了研究应该如何应对使开放数据生态系统更具价值和可持续性的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
eJournal of eDemocracy and Open Government
eJournal of eDemocracy and Open Government Social Sciences-Sociology and Political Science
CiteScore
2.60
自引率
0.00%
发文量
9
审稿时长
26 weeks
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