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Industrial Data Sharing with Data Access Policy

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Cooperative Design, Visualization, and Engineering (CDVE 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10451))

Abstract

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.

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Acknowledgments

This work is partially funded by the project SePiA.Pro (01MD16013F) of the BMWi program Smart Service World.

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Authors and Affiliations

  1. TWT GmbH Science & Innovation, Industriestr. 6, 70565, Stuttgart, Germany

    Felix W. Baumann, Gerd Grünert & Sebastian Hudert

  2. Institute of Architecture of Application Systems, University of Stuttgart, 70569, Stuttgart, Germany

    Uwe Breitenbücher & Michael Falkenthal

Authors
  1. Felix W. Baumann
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  2. Uwe Breitenbücher
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  3. Michael Falkenthal
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  4. Gerd Grünert
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  5. Sebastian Hudert
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Corresponding author

Correspondence to Felix W. Baumann .

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Editors and Affiliations

  1. University of the Balearic Islands, Palma, Mallorca, Spain

    Yuhua Luo

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Baumann, F.W., Breitenbücher, U., Falkenthal, M., Grünert, G., Hudert, S. (2017). Industrial Data Sharing with Data Access Policy. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2017. Lecture Notes in Computer Science(), vol 10451. Springer, Cham. https://doi.org/10.1007/978-3-319-66805-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-66805-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66804-8

  • Online ISBN: 978-3-319-66805-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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