Building open government data platform ecosystems: A dynamic development approach that engages users from the start

Andreas Hein, Martin Engert, Sunghan Ryu, Norman Schaffer, Sebastian Hermes, Helmut Krcmar

Research output: Contribution to journalArticlepeer-review

Abstract

Open government data (OGD) platform ecosystems hold immense potential for promoting transparency, civic engagement, economic growth, and improved governmental offerings. The prevailing strategy to building OGD platform ecosystems follows a sequential approach where the OGD platform is built first and the ecosystem is built second, resulting in low engagement. In this paper, we derive insights into an alternative approach to developing OGD platform ecosystems from TourismData, a state-owned tourism initiative in Germany. We report on the phases between 2018 and 2022 and derive four dynamic and incremental phases from which we derive three learnings: context specificity, continuous adaptation, and organic expansion. Our findings have theoretical and practical implications for developing high-engagement OGD platform ecosystems that include and engage ecosystem actors from the start and, hence, take advantage of the generative potential of OGD. This approach illustrates the importance of developing OGD platform ecosystems with high contextual relevance to ensure that data can be used to enable meaningful interactions between ecosystem actors and promote continuous adaptation and expansion.

Original languageEnglish
Article number101878
JournalGovernment Information Quarterly
Volume40
Issue number4
DOIs
StatePublished - Oct 2023

Keywords

  • Open data
  • Open government
  • Open government data
  • Open government data platform ecosystem development
  • Open government data platform ecosystems

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