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Conference Paper
Metadata Modeling and Operation Flow of Problem Solving Ecosystem for ECG Data Engineering and Arrhythmia Diagnosis
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- Authors
- Sungpil Woo, Young-Ho Suh, Muhammad Zubair, Boyun Eom, Dong-Hwan Park, Sunhwan Lim, Chan-Won Park
- Issue Date
- 2021-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1835-1837
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Data Commons is a user-centric, decentralized data management, and trading ecosystem that empowers data owners to set the level of privacy protection, scope of delivery, and distributes profits to owners. On top of the Data Commons, we build a problem solving ecosystem which is a decentralized collaborative process execution space where anyone participating in the consortium can contribute in various ways to the work required at each stage of the workflow and receive incentives depending on their contributions. In this paper, as work in progress, we describe our problem solving ecosystem with an example of metadata and operational flow using ECG data engineering and arrhythmia diagnostic scenarios.
- KSP Keywords
- AND operation, Collaborative process, Data Commons, Data Management, Data engineering, Metadata modeling, Operation flow, Process execution, User-Centric, Work in progress, decentralized data