What Does it Take to Connect? Unveiling Characteristics of Data Space Connectors

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dc.contributor.author Gieß, Anna
dc.contributor.author Hupperz, Marius
dc.contributor.author Schoormann, Thorsten
dc.contributor.author Möller, Frederik
dc.date.accessioned 2023-12-26T18:43:29Z
dc.date.available 2023-12-26T18:43:29Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other f62838bf-1c9e-4b52-abba-0bcd7640b447
dc.identifier.uri https://hdl.handle.net/10125/106895
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Designing Data Ecosystems: Value, Impacts, and Fundamentals
dc.subject connector
dc.subject data sharing
dc.subject data space
dc.subject taxonomy
dc.title What Does it Take to Connect? Unveiling Characteristics of Data Space Connectors
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract Data spaces are a novel data management approach to collect large-scale heterogeneous data distributed over various data sources in different formats. To access these data spaces, users require so-called connectors to ensure technical compliance (e.g., usage control policies) and ensure that users play by the ‘same rules’. While connectors are a critical component of data spaces and receive considerable attention in politics, practice, and research, there is still no shared understanding of what constitutes a connector. To address this gap, we analyzed 23 connector use cases, diverse types of practitioner literature (n = 14), 25 scientific papers, and a workshop with five experts to extract the characteristics of connectors. We synthesized our findings into a taxonomy of connectors that integrates insights from the conceptual and empirical analysis and finalized it by classifying two connectors within the taxonomy. Our paper contributes to understanding this novel artifact, which has implications for future businesses.
dcterms.extent 10 pages
prism.startingpage 4238
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Designing Data Ecosystems: Value, Impacts, and Fundamentals