research-article

Knowledge-Driven Data Ecosystems Toward Data Transparency

Authors:

Sandra Geisler,

Maria-Esther Vidal,

Cinzia Cappiello,

Bernadette Farias Lóscio,

Matthias Jarke,

Maurizio Lenzerini,

Barbara Pernici,

Jakob RehofAuthors Info & Claims

ACM Journal of Data and Information Quality (JDIQ), Volume 14, Issue 1

Article No.: 3, Pages 1 - 12

https://doi.org/10.1145/3467022

Published: 23 December 2021 Publication History

Abstract

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.

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Cited By

Lnenicka MNikiforova ALuterek MMilic PRudmark DNeumaier SKević KZuiderwijk ARodríguez Bolívar M(2024)Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystemsSSRN Electronic Journal10.2139/ssrn.4831881Online publication date: 2024
https://doi.org/10.2139/ssrn.4831881
Tirpitz L(2024)Towards FAIR Data Stream Processing EcosystemsProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3672434(203-206)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3629104.3672434
Li FWang SLiu KLi XYang GWang Q(2024)A Unified Data Ontology for Demand-driven Data Sharing in the DOA-based Data Ecosystem2024 IEEE International Conference on Web Services (ICWS)10.1109/ICWS62655.2024.00030(108-115)Online publication date: 7-Jul-2024
https://doi.org/10.1109/ICWS62655.2024.00030
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Index Terms

Knowledge-Driven Data Ecosystems Toward Data Transparency
1. Information systems
  1. Data management systems
    1. Information integration
      1. Data exchange
      2. Mediators and data integration

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Published In

cover image Journal of Data and Information Quality

Journal of Data and Information Quality Volume 14, Issue 1

March 2022

61 pages

ISSN:1936-1955

EISSN:1936-1963

DOI:10.1145/3505184

Editor:
Tiziana Catarci
Sapienza University of Rome, Rome, Italy

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 December 2021

Accepted: 01 May 2021

Received: 01 May 2021

Published in JDIQ Volume 14, Issue 1

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MUR-PRIN
H2020-EU.2.1.1
EU H2020
CLARIFY
German Innovation Fund
German Federal Ministry of Education and Research (BMBF)
Fraunhofer Cluster of Excellence “Cognitive Internet Technologies” (CCIT)
Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC-2023 Internet of Production

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Cited By

Lnenicka MNikiforova ALuterek MMilic PRudmark DNeumaier SKević KZuiderwijk ARodríguez Bolívar M(2024)Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystemsSSRN Electronic Journal10.2139/ssrn.4831881Online publication date: 2024
https://doi.org/10.2139/ssrn.4831881
Tirpitz L(2024)Towards FAIR Data Stream Processing EcosystemsProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3672434(203-206)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3629104.3672434
Li FWang SLiu KLi XYang GWang Q(2024)A Unified Data Ontology for Demand-driven Data Sharing in the DOA-based Data Ecosystem2024 IEEE International Conference on Web Services (ICWS)10.1109/ICWS62655.2024.00030(108-115)Online publication date: 7-Jul-2024
https://doi.org/10.1109/ICWS62655.2024.00030
Lnenicka MNikiforova ALuterek MMilic PRudmark DNeumaier SKević KZuiderwijk ARodríguez Bolívar M(2024)Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystemsTelematics and Informatics10.1016/j.tele.2024.10219094(102190)Online publication date: Oct-2024
https://doi.org/10.1016/j.tele.2024.102190
Shah SPeristeras VMagnisalis I(2024)A CONCEPTUAL FRAMEWORK FOR THE GOVERNMENT BIG DATA ECOSYSTEM (‘datagov.eco’)Data & Knowledge Engineering10.1016/j.datak.2024.102348(102348)Online publication date: Sep-2024
https://doi.org/10.1016/j.datak.2024.102348
Altendeitering MGuggenberger TMöller F(2024)A design theory for data quality tools in data ecosystems: Findings from three industry casesData & Knowledge Engineering10.1016/j.datak.2024.102333153(102333)Online publication date: Sep-2024
https://doi.org/10.1016/j.datak.2024.102333
Lohmöller JPennekamp JMatzutt RSchneider CVlad ETrautwein CWehrle K(2024)The unresolved need for dependable guarantees on security, sovereignty, and trust in data ecosystemsData & Knowledge Engineering10.1016/j.datak.2024.102301151:COnline publication date: 1-May-2024
https://dl.acm.org/doi/10.1016/j.datak.2024.102301
Jussen IMöller FSchweihoff JGieß AGiussani GOtto B(2024)Issues in inter-organizational data sharingData & Knowledge Engineering10.1016/j.datak.2024.102280150:COnline publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1016/j.datak.2024.102280
Möller FJussen ISpringer VGieß ASchweihoff JGelhaar JGuggenberger TOtto B(2024)Industrial data ecosystems and data spacesElectronic Markets10.1007/s12525-024-00724-034:1Online publication date: 6-Aug-2024
https://doi.org/10.1007/s12525-024-00724-0
Nikiforova ALnenicka MMilić PLuterek MRodríguez Bolívar M(2024)From the Evolution of Public Data Ecosystems to the Evolving Horizons of the Forward-Looking Intelligent Public Data Ecosystem Empowered by Emerging TechnologiesElectronic Government10.1007/978-3-031-70274-7_25(402-418)Online publication date: 3-Sep-2024
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