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  • 标题:The Open Data Canvas–Analyzing Value Creation from Open Data
  • 本地全文:下载
  • 作者:Yingying Gao ; Marijn Janssen
  • 期刊名称:Digital Government: Research and Practice
  • 印刷版ISSN:2691-199X
  • 电子版ISSN:2639-0175
  • 出版年度:2022
  • 卷号:3
  • 期号:1
  • 页码:1-15
  • DOI:10.1145/3511102
  • 语种:English
  • 出版社:Association for Computing Machinery
  • 摘要: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.
  • 关键词:Open data;value creation;business model canvas;design science research;data infomediaries;open data canvas
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