Paper Info
Title
Towards a Data Governance Framework for Third Generation Platforms
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.
Year
DOI
Venue
2019
10.1016/j.procs.2019.04.082
Procedia Computer Science
Keywords
Field
DocType
Data governance,Industry 4.0,data bus architecture,cloud computing,IoT,big data
Architecture,Corporate governance,Computer science,Reuse,Data governance,Artificial intelligence,Software architecture,Analytics,Data as a service,Machine learning,Cloud computing,Process management
Conference
Volume
ISSN
Citations 
151
1877-0509
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Juan Yebenes100.34
Marta E. Zorrilla25116.05