The Open Data Canvas-Analyzing Value Creation from Open Data

Yingying Gao, Marijn Janssen*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
39 Downloads (Pure)

Abstract

Expectations to derive value from open data are high. However, how value is created from open data is still largely unknown. Open data value is usually generated in constellation of actors in which each player has different capabilities and roles. To understand the open data value creation process, the business model canvas is introduced in this article. The typical components of the business model canvas and open data value creation are derived from the literature. By combining these two research streams, the open data value model canvas is created. The case of Coronavirus disease 2019 (COVID-19) worldwide dashboard developed by the Johns Hopkins University is used to evaluate the model's utility. Key components of the open data value model are creating an overview of various data sources from public and private organizations, having capabilities to combine heterogeneous data, and connecting data and needs. In this way, the open data canvas helps to grasp the value creation logic.
Original languageEnglish
Article number5
JournalDigital Government: Research and Practice
Volume3
Issue number1
DOIs
Publication statusPublished - 2022

Keywords

  • business model canvas
  • data infomediaries
  • design science research
  • Open data
  • open data canvas
  • value creation

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