Towards a Data Governance Framework for Third Generation Platforms
Ver/ Abrir
Registro completo
Mostrar el registro completo DCFecha
2019Derechos
Attribution-NonCommercial-NoDerivatives 4.0 International, © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
Publicado en
Procedia Computer Science, Volume 151, 2019, Pages 614-621
2nd International Conference on Emerging Data and Industry 4.0 (EDI40)
Editorial
Elsevier
Enlace a la publicación
Palabras clave
Data governance
Industry 4.0
Data bus architecture
Cloud computing
IoT
Big data
Resumen/Abstract
The fourth industrial revolution considers data as a business asset and therefore this is placed as a central element of the software architecture (data as a service) that will support the horizontal and vertical digitalization of industrial processes. The large volume of data that the environment generates, its heterogeneity and complexity, as well as its reuse for later processes (e.g. analytics, IA) requires the adoption of policies, directives and standards for its right governance. Furthermore, the issues related to the use of resources in the cloud computing must be taken into account with the aim of meeting the requirements of performance and security of the different processes. This article, in the absence of frameworks adapted to this new architecture, proposes an initial schema for developing an effective data governance programme for third generation platforms, that means, a conceptual tool which guides organizations to define, design, develop and deploy services aligned with its vision and business goals in I4.0 era.
Colecciones a las que pertenece
- D30 Congresos [57]
- D30 Proyectos de Investigación [116]