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6. Characterization of Relationships in Data Ecosystems

Author

Herberger, David, Hübner, Marco, Gelhaar, Joshua, Becker, Felix, Groß, Tobias, Herberger, David, Hübner, Marco, Gelhaar, Joshua, Becker, Felix, and Groß, Tobias

Abstract

The importance of data as a strategic resource for the development of innovation is steadily growing. Data-driven value creation increasingly requires cross-company collaboration between various actors with different roles in so called data ecosystems. So far, however, the existing knowledge in the research field around data ecosystems is still relatively limited. In particular, the relationships and interdependencies between the different actors in a data ecosystem are not well understood yet. To address this research gap, we conduct a structured literature review and interview eleven experts from practice to identify characteristics of relationships between actors in data ecosystems. Among other things, the results show that both tangible characteristics, such as a clear exchange of values, and intangible characteristics, such as trust, are distinguishing features of the relationships between actors in data ecosystems. These study results can serve as a tool for both researchers and practitioners to better understand data ecosystems in general and the relationships and interactions that occur within them.

Published
2022

7. Characterization of Relationships in Data Ecosystems

Author

Gelhaar, Joshua, Becker, Felix, Groß, Tobias, Herberger, David, and Hübner, Marco

Subjects
Literature review, Data Sharing, Characterization, Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau, Relationships, ddc:620, Expert Interviews, Data Ecosystems, Konferenzschrift
Abstract

The importance of data as a strategic resource for the development of innovation is steadily growing. Data-driven value creation increasingly requires cross-company collaboration between various actors with different roles in so called data ecosystems. So far, however, the existing knowledge in the research field around data ecosystems is still relatively limited. In particular, the relationships and interdependencies between the different actors in a data ecosystem are not well understood yet. To address this research gap, we conduct a structured literature review and interview eleven experts from practice to identify characteristics of relationships between actors in data ecosystems. Among other things, the results show that both tangible characteristics, such as a clear exchange of values, and intangible characteristics, such as trust, are distinguishing features of the relationships between actors in data ecosystems. These study results can serve as a tool for both researchers and practitioners to better understand data ecosystems in general and the relationships and interactions that occur within them.

Published
2022

8. Design Principles for Data Spaces : Position Paper; Version 1.0

Author

Ahle, Ulrich, Bastiaansen, Harrie, Bengtsson, Kjell, Caballero, Mallku, Castellvi, Silvia, Dognini, Alberto, van Ette, Frans, Faraldi, Marianna, Gelhaar, Joshua, Graziani, Alessio, Grguric, Andrej, Gusmeroli, Sergio, Helmholt, Kristian, Hierro, Juan Jose, Hoppenbrouwer, Denise, Huelsmann, Thorsten, Krco, Srdjan, Kung, Antonio, De Lama, Nuria, Lazaro, Oscar, Marguglio, Angelo, Marques, Maria, Mertens, Christoph, Micheletti, Giorgio, Nicolas, Luc, Otto, Boris, Perea, Eugenio, Polcaro, Carmen, Punter, Matthijs, Rodriguez, Jorge, Soldatos, John, Steinbuss, Sebastian, Sundmaeker, Harald, Taillandier, Anne-Sophie, Veen, Mariane ter, Torelli, Francesco, Tuikka, Tuomo, Turpeinen, Marko, Usatorre, Luis, and Valiño, Javier

Subjects
Data Sharing, Certification, Data Economy, Data Sovereignty, Data Spaces, IDS Certification, International Data Spaces, Connectors, Data Ecosystems
Abstract

Berlin : International Data Spaces Association 110 Seiten : Illustrationen, Diagramme (2021). doi:10.5281/zenodo.5244997, Published by International Data Spaces Association, Berlin

Published
2021
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9. Design Principles for Data Spaces : Position Paper

Author

Gelhaar, Joshua, Graziani, Alessio, Grguric, Andrej, Gusmeroli, Sergio, Helmholt, Kristian, Hierro, Juan Jose, Hoppenbrouwer, Denise, Huelsmann, Thorsten, Krco, Srdjan, Kung, Antonio, Ahle, Ulrich, De Lama, Nuria, Lazaro, Oscar, Marguglio, Angelo, Marques, Maria, Mertens, Christoph, Micheletti, Giorgio, Nicolas, Luc, Otto, Boris, Perea, Eugenio, Polcaro, Carmen, Bastiaansen, Harrie, Punter, Matthijs, Rodriguez, Jorge, Soldatos, John, Steinbuss, Sebastian, Sundmaeker, Harald, Taillandier, Anne-Sophie, Veen, Mariane ter, Torelli, Francesco, Tuikka, Tuomo, Turpeinen, Marko, Bengtsson, Kjell, Usatorre, Luis, Valiño, Javier, Caballero, Mallku, Castellvi, Silvia, Dognini, Alberto, van Ette, Frans, Faraldi, Marianna, Nagel, Lars, and Lycklama, Douwe

Subjects
Data Sharing, Certification, Data Economy, Data Sovereignty, Data Spaces, IDS Certification, International Data Spaces, Connectors, Data Ecosystems
Published
2021

10. GAIA-X and IDS

Author

Otto, Boris, Rubina, Alina, Eitel, Andreas, Teuscher, Andreas, Schleimer, Anna Maria, Lange, Christoph, Stingl, Dominik, Loukipoudis, Evgueni, Brost, Gerd, Boege, Gernot, Pettenpohl, Heinrich, Langkau, Jörg, Gelhaar, Joshua, Mitani, Koki, Hupperz, Marius, Huber, Monika, Jahnke, Nils, Brandstädter, Robin, Wessel, Sascha, and Bader, Sebastian

Published
2021
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11. Requirements For Incentive Mechanisms In Industrial Data Ecosystems

Author

Gelhaar, Joshua, Both, Jan, Otto, Boris, Herberger, David, and Hübner, Marco

Subjects
incentives mechanisms, industrial data ecosystems, data sharing, Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau, Requirements, ddc:620, Konferenzschrift
Abstract

In the increasingly interconnected business world, economic value is less and less created by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. The research field around data ecosystems is, however, still in its infancy. In particular, the lack of knowledge about the actual benefits of inter-organisational data sharing is seen as one of the main obstacles why companies are currently not motivated to engage in data ecosystems. This is especially evident in traditional sectors, such as production or logistics, where data is still shared comparatively rarely. However, there is also consensus in these sectors that cross-company data-driven services, such as collaborative condition monitoring, can generate major value for all actors involved. One reason for this discrepancy is that it is often not clear which incentives exist for data providers and how they can generate added value from offering their data to other actors in an ecosystem. Fair and appropriate incentive and revenue sharing mechanisms are needed to ensure reliable cooperation and sustainable ecosystem development. To address this research gap and contribute to a deeper understanding, we conduct a literature review and identify requirements for incentive mechanisms in industrial data ecosystems. The results show, among other things, that technical requirements, such as enabling data usage control, as well as economic aspects, for instance, the fair monetary valuation of data, play an important role in incentive mechanisms in industrial data ecosystems. Understanding these requirements can help practitioners to better comprehend the incentive mechanisms of the ecosystems in which their organisations participate and can ultimately help to create new data-driven products and services.

Published
2021
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12. Requirements For Incentive Mechanisms In Industrial Data Ecosystems

Author

Herberger, David, Hübner, Marco, Gelhaar, Joshua, Both, Jan, Otto, Boris, Herberger, David, Hübner, Marco, Gelhaar, Joshua, Both, Jan, and Otto, Boris

Abstract

In the increasingly interconnected business world, economic value is less and less created by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. The research field around data ecosystems is, however, still in its infancy. In particular, the lack of knowledge about the actual benefits of inter-organisational data sharing is seen as one of the main obstacles why companies are currently not motivated to engage in data ecosystems. This is especially evident in traditional sectors, such as production or logistics, where data is still shared comparatively rarely. However, there is also consensus in these sectors that cross-company data-driven services, such as collaborative condition monitoring, can generate major value for all actors involved. One reason for this discrepancy is that it is often not clear which incentives exist for data providers and how they can generate added value from offering their data to other actors in an ecosystem. Fair and appropriate incentive and revenue sharing mechanisms are needed to ensure reliable cooperation and sustainable ecosystem development. To address this research gap and contribute to a deeper understanding, we conduct a literature review and identify requirements for incentive mechanisms in industrial data ecosystems. The results show, among other things, that technical requirements, such as enabling data usage control, as well as economic aspects, for instance, the fair monetary valuation of data, play an important role in incentive mechanisms in industrial data ecosystems. Understanding these requirements can help practitioners to better comprehend the incentive mechanisms of the ecosystems in which their organisations participate and can ultimately help to create new data-driven products and services.

Published
2021

15. Towards a Taxonomy of Incentive Mechanisms for Data Sharing in Data Ecosystems.

Author

Gelhaar, Joshua, Gürpinar, Tan, Henke, Michael, and Otto, Boris

Subjects
TAXONOMY, INFORMATION sharing, ECONOMIC value added (Corporations), INFORMATION & communication technologies, DATA analysis
Abstract

In the increasingly connected business world, economic value is created less and less by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. However, one of the main obstacles to why actors are currently not motivated to engage in data ecosystems is that they are often not aware of the actual benefits of cross-organisational data sharing. This is partly because it is in many cases unclear what the incentives and ultimately the added value are for data providers when they share their data with others. To address this research gap we develop a taxonomy of incentive mechanisms for data sharing in data ecosystems which is based on a structured literature review. The resulting taxonomy consists of key dimensions and characteristics of incentive mechanisms for data sharing in data ecosystems and contributes to a better scientific understanding of these concepts. [ABSTRACT FROM AUTHOR]

Published
2021

16. Challenges in the Emergence of Data Ecosystems.

Author

Gelhaar, Joshua and Otto, Boris

Subjects
DATA, INFORMATION resources, DIGITAL technology, INFORMATION technology, VALUE creation
Abstract

The importance of data as a resource for innovation and value creation is increasing steadily. As a result, organizations must adapt their strategies and develop methods for integrating data into their value creation processes. At the same time, data-driven value is less and less created by one company alone but rather through the sharing of data in socalled data ecosystems. The data ecosystem field is, however, not well understood yet. For example, it is unclear how data ecosystems emerge and evolve further. To address this research gap, this paper focuses on the challenges in the emergence phase of data ecosystems. By conducting a multiple case study of eleven use cases, we find that, among other challenges, building trust between the ecosystem participants is one of the major challenges a data ecosystem has to overcome in its emergence phase. [ABSTRACT FROM AUTHOR]

Published
2020

17. IDS Reference Architecture Model. Industrial Data Space. Version 2.0

Author

Otto, Boris, Lohmann, Steffen, Steinbuss, Sebastian, Teuscher, Andreas, Auer, Sören, Boehmer, Martin, Bohn, Juergen, Brost, Gerd, Cirullies, Jan, Ciureanu, Constantin, Corsi, Eva, Danielsen, Soeren, Eitel, Andreas, Ernst, Thilo, Geisler, Sandra, Gelhaar, Joshua, Gude, Roland, Haas, Christian, Heiles, Juergen, Hierro, Juanjo, Hoernle, Joachim, Huber, Manuel, Jung, Christian, Juerjens, Jan, Kasprzik, Anna, Ketterl, Markus, Koetzsch, Judith, Koehler, Jacob, Lange, Christoph, Langer, Dorothea, Langkau, Jörg, Lis, Dominik, Loeffler, Sven, Loewen, Ulrich, Mader, Christian, Menz, Nadja, Mueller, Andreas, Mueller, Bernhard, Nagel, Lars, Nagel, Ralf, Nieminen, Harri, Reitelbach, Thomas, Resetko, Aleksei, Pakkala, Daniel, Patzer, Florian, Pettenpohl, Heinrich, Pietzsch, Rene, Pullmann, Jaroslav, Punter, Matthijs, Quix, Christoph, Rohrmus, Dominik, Romer, Lena, Sandloehken, Joerg, Schoewe, Patrick, Schulz, Daniel, Schuette, Julian, Schweichhart, Karsten, Sol, Egbert-Jan, Sorowka, Peter, Spiegelberg, Gernot, Spiekermann, Markus, Spohn, Christian, Stoehr, Gerrit, Thess, Michael, Tramp, Sebastian, Wappler, Mona, Weiergraeber, Ann-Christin, Wenzel, Sven, Wolff, Oliver, and Woerner, Heike

Published
2018
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18. GAIA-X and IDS

Author

Otto, Prof. Dr. Boris, Rubina, Alina, Eitel, Andreas, Teuscher, Andreas, Schleimer, Anna Maria, Lange, Dr. Christoph, Stingle, Dr.-Ing. Dominik, Loukipoudis, Evgueni, Brost, Gerd, Böge, Gernot, Pettenpohl, Heinrich, Langkau, Jörg, Gelhaar, Joshua, Mitani, Koki, Hupperz, Marius, Huber, Monika, Jahnke, Nils, Brandstäd, Wessel, Sascha, and Bader, Sebastian

Subjects
Data Sharing, Certification, Data Exchange, Data Economy, Data Sovereignty, GAIA-X, Data Spaces, IDS Certification, International Data Spaces, Connectors, Data Ecosystems
Abstract

This position paper gives a first overview of the architectures of GAIA-X and International Data Spaces. This is followed by a discussion on how the two infrastructures are or can be aligned to one infrastructure. We only focus on the alignment of IDS and GAIA-X without any discussions about other initiatives like Plattform Industrie 4.0, SWIPO (Switching Cloud Providers and Porting Data), or similar. This current paper also does not specifically address synergies with the Once-Only technical system developed by the European Commission for the public sector, which will re-use mature solutions from the CEF Building Blocks and the ISA² Core Vocabularies. From our perspectives, these initiatives are also highly relevant and are partly linked to both, IDS and GAIA-X initiatives, but an integration would go beyond the scope of this paper.

Published
2021
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