It is generally agreed that infrastructures for secure and reliable data exchange among organizations is a key technological enabler for digitalization and the digital economy of the future. In this context organizations (rather than individuals) are regarded as sovereign data owners entering into data ecosystems according to agreed contracts between parties. The data sharing networks of the future will enable ecosystems of data providers, data consumers, and service providers.

The creation of suitable infrastructures for data ecosystems and sharing networks poses many technological and scientific challenges cutting across a wide range of scientific specializations. The Dagstuhl Seminar aims at bringing together researchers from different communities within computer science (but including also relevant legal, ethical, and societal aspects) to exchange ideas pertaining to the central scientific challenges within this emerging interdisciplinary field of data ecosystems and data sharing networks.

A central new aspect of data ecosystems such as will be considered in the seminar lies in the view of data as something representing intrinsic value and which may therefore also be considered an economic value. In the data ecosystem as understood here, data is typically considered both a business asset and a business commodity which may be priced and sold in some form or other according to contract, e.g. in the form of a data provisioning service with a defined service level, or as raw data with certain defined conditions of use, or as a specified analytic service, etc. This view may be contrasted with the more traditional view of data as an instrument towards the creation of value.

The seminar will be structured around the following topic areas:

• Data engineering, with a focus on continuous and incremental data integration
• Architecture topologies, with a focus on usage control and data protection
• Ecosystem design, with a focus on data valuation and data quality
• Use cases and business models

The distinct perspective on the topics of the seminar arises out of their relevance for contributing to the understanding of data ecosystems in the digital economy of the future.

Creative Commons BY 3.0 DE

Cinzia Cappiello, Avigdor Gal, Matthias Jarke, and Jakob Rehof

• Cinzia Cappiello (Polytechnic University of Milan, IT) [dblp]
• Ugo de' Liguoro (University of Turin, IT) [dblp]
• Yuri Demchenko (University of Amsterdam, NL) [dblp]
• Elena Demidova (Leibniz Universität Hannover, DE) [dblp]
• Boris Düdder (University of Copenhagen, DK) [dblp]
• Bernadette Farias Lóscio (Federal University of Pernambuco - Recife, BR) [dblp]
• Avigdor Gal (Technion - Haifa, IL) [dblp]
• Sandra Geisler (Fraunhofer FIT - Sankt Augustin, DE) [dblp]
• Benjamin Heitmann (Fraunhofer FIT - Aachen, DE & RWTH Aachen, DE) [dblp]
• Fritz Henglein (Univ. of Copenhagen, DK & Deon Digital - Zürich, CH) [dblp]
• Matthias Jarke (RWTH Aachen, DE) [dblp]
• Jan Jürjens (Universität Koblenz-Landau, DE) [dblp]
• Maurizio Lenzerini (Sapienza University of Rome, IT) [dblp]
• Wolfgang Maaß (Universität des Saarlandes - Saarbrücken, DE) [dblp]
• Paolo Missier (Newcastle University, GB) [dblp]
• Boris Otto (Fraunhofer ISST - Dortmund, DE & TU Dortmund, DE) [dblp]
• Elda Paja (IT University of Copenhagen, DK) [dblp]
• Barbara Pernici (Polytechnic University of Milan, IT) [dblp]
• Frank Piller (RWTH Aachen, DE) [dblp]
• Andreas Rausch (TU Clausthal, DE) [dblp]
• Jakob Rehof (TU Dortmund, DE) [dblp]
• Simon Scerri (Fraunhofer IAIS - Sankt Augustin, DE) [dblp]
• Julian Schütte (Fraunhofer AISEC - München, DE) [dblp]
• Egbert Jan Sol (TNO - Eindhoven, NL) [dblp]
• Gerald Spindler (Georg August Universität - Göttingen, DE) [dblp]
• Maria-Esther Vidal (TIB - Hannover, DE) [dblp]