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Knowledge-Driven Data Ecosystems Toward Data Transparency

Lookup NU author(s): Professor Paolo MissierORCiD


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© 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM. A data ecosystem (DE) offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues among shared data. However, despite years of research in data governance and management, trustability is still affected by the absence of transparent and traceable data-driven pipelines. In this work, we focus on requirements and challenges that DEs face when ensuring data transparency. Requirements are derived from the data and organizational management, as well as from broader legal and ethical considerations. We propose a novel knowledge-driven DE architecture, providing the pillars for satisfying the analyzed requirements. We illustrate the potential of our proposal in a real-world scenario. Last, we discuss and rate the potential of the proposed architecture in the fulfillmentof these requirements.

Publication metadata

Author(s): Geisler S, Vidal M-E, Cappiello C, Loscio BF, Gal A, Jarke M, Lenzerini M, Missier P, Otto B, Paja E, Pernici B, Rehof J

Publication type: Article

Publication status: Published

Journal: Journal of Data and Information Quality

Year: 2022

Volume: 14

Issue: 1

Print publication date: 01/03/2022

Online publication date: 23/12/2021

Acceptance date: 01/05/2021

ISSN (print): 1936-1955

ISSN (electronic): 1936-1963

Publisher: Association for Computing Machinery


DOI: 10.1145/3467022


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