Abstract
Open data is a vital part of new digital economy. It facilitates value creation from combining data from multiple sources. It also important to utilize a massive data flow from emerging IoT (Internet of Things) devices. Future smart cities will consist of a large aggregation of open data APIs. The size and variety of open data APIs provide challenges for usability, consistency, and integrity. The author analyzes issues in open data APIs in the Tokyo public transportation. The author discusses multiple aspects of issues. Then, the author presents a framework with three view models to deal with open data APIs: outcome, cause, and fixes. Finally, the author discusses lessons learned in the Tokyo public transportation open data APIs.
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Acknowledgments
The research results have been achieved by “EUJ-02-2016: IoT/Cloud/Big Data platforms in social application contexts,” the Commissioned Research of National Institute of Information and Communications Technology (NICT), JAPAN.
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Yamakami, T. (2019). Lessons Learned in Tokyo Public Transportation Open Data APIs. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_31
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DOI: https://doi.org/10.1007/978-3-319-98530-5_31
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