Applied Sciences (Aug 2021)

Cooperative Approaches to Data Sharing and Analysis for Industrial Internet of Things Ecosystems

  • Henning Baars,
  • Ann Tank,
  • Patrick Weber,
  • Hans-Georg Kemper,
  • Heiner Lasi,
  • Burkhard Pedell

DOI
https://doi.org/10.3390/app11167547
Journal volume & issue
Vol. 11, no. 16
p. 7547

Abstract

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The collection and analysis of industrial Internet of Things (IIoT) data offer numerous opportunities for value creation, particularly in manufacturing industries. For small and medium-sized enterprises (SMEs), many of those opportunities are inaccessible without cooperation across enterprise borders and the sharing of data, personnel, finances, and IT resources. In this study, we suggest so-called data cooperatives as a novel approach to such settings. A data cooperative is understood as a legal unit owned by an ecosystem of cooperating SMEs and founded for supporting the members of the cooperative. In a series of 22 interviews, we developed a concept for cooperative IIoT ecosystems that we evaluated in four workshops, and we are currently implementing an IIoT ecosystem for the coolant management of a manufacturing environment. We discuss our findings and compare our approach with alternatives and its suitability for the manufacturing domain.

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