Open Data Market Architecture and Functional Components
| Autor: | Cees de Laat, W. Los, Paola Grosso, Leon Gommans, Yuri Demchenko, Reggie Cushing |
|---|---|
| Přispěvatelé: | Multiscale Networked Systems (IvI, FNWI), System and Network Engineering (IVI, FNWI), IvI Research (FNWI) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Service (systems architecture) Process management Computer science Data market Provisioning 02 engineering and technology 03 medical and health sciences Open data Data exchange 020204 information systems Data quality 0202 electrical engineering electronic engineering information engineering Trust management (information system) Architecture 030304 developmental biology |
| Zdroj: | HPCS 2019 International Conference on High Performance Computing & Simulation (HPCS): Dublin, Ireland, 15-19 July 2019, 1017-1021 STARTPAGE=1017;ENDPAGE=1021;TITLE=2019 International Conference on High Performance Computing & Simulation (HPCS) |
| Popis: | This paper discusses the principles of organisation and infrastructure components of Open Data Markets (ODM) that would facilitate secure and trusted data exchange between data market participants, and other cooperating organisations. The paper provides a definition of the data properties as economic goods and identifies the generic characteristics of ODM as a Service. This is followed by a detailed description of the generic data market infrastructure that can be provisioned on demand for a group of cooperating parties. The proposed data market infrastructure and its operation are employing blockchain technologies for securing data provenance and providing a basis for data monetisation. Suggestions for trust management and data quality assurance are discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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