|Bibliography||Baumann, Felix W.; Breitenbücher, Uwe; Falkenthal, Michael; Grünert, Gerd; Hudert, Sebastian: Industrial Data Sharing with Data Access Policy. |
In: Proceedings of the 14th International Conference on Cooperative Design, Visualization, and Engineering (CDVE 2017).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 215-219, english.
Springer, September 2017.
Article in Proceedings (Conference Paper).
|CR-Schema||C.0 (Computer Systems Organization, General)|
C.2.4 (Distributed Systems)
D.2.2 (Software Engineering Design Tools and Techniques)
D.2.3 (Software Engineering Coding Tools and Techniques)
D.2.7 (Software Engineering Distribution, Maintenance, and Enhancement)
|Keywords||Industrial Data; Data Aggregation; Policies; Data Hub|
In current industrial settings, data is dispersed on numerous devices, systems and locations without integration and sharing capabilities. With this work, we present a framework for the integration of various data sources within an industrial setting, based on a mediating data hub. Within the data hub, data sources and sinks for this industrial application are equipped with data usage policies to restrict and enable usage and consumption of data for shared analytics. We identify such policies, their requirements and rationale. This work addresses an industrial setting, with manufacturing data being the primary use-case. Requirements for these policies are identified from existing use-cases and expert domain knowledge. The requirements are identified as reasonable via examples and exemplary implementation.
|Department(s)||University of Stuttgart, Institute of Architecture of Application Systems|
|Entry date||September 21, 2017|