Abstract
This paper discusses the problem of data quality in blockchain applications at three levels of abstraction, i.e., conceptual, logical and physical. Conceptually, it makes explicit the need for information of typical data quality metrics for their online assessment. Logically, it analyzes how the adoption of blockchain technology affects the availability of the data needed for quality assessment. Physically, it identifies a set of implementation options that take into account the information needs of metrics and the restrictions by the technology; special attention at this level is paid to Ethereum and Solidity. Two case studies put the identified patterns and abstractions into context and showcase their importance in real-world distributed applications and processes.
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2018-0-01441) supervised by the IITP (Institute for Information & communications Technology Promotion) and by the DITAS project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement RIA 731945.
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Cappiello, C., Comuzzi, M., Daniel, F., Meroni, G. (2019). Data Quality Control in Blockchain Applications. In: Di Ciccio, C., et al. Business Process Management: Blockchain and Central and Eastern Europe Forum. BPM 2019. Lecture Notes in Business Information Processing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-30429-4_12
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DOI: https://doi.org/10.1007/978-3-030-30429-4_12
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