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Data Sharing Spaces: The BDVA Perspective

Edward Curry, Tuomo Tuikka, Andreas Metzger, Sonja Zillner, Natalie Bertels, Charlotte Ducuing, Davide Dalle Carbonare, Sergio Gusmeroli, Simon Scerri, Irene López de Vallejo, Ana García Robles

202211 citationsDOIOpen Access PDF

Abstract

Abstract Using data and Artificial Intelligence, it is possible to answer the big questions, how sustainable the planet is or what impact industry has on climate. The Big Data Value Association (BDVA) believes that Data Sharing Spaces will be a key enabler to this vision. The BDVA community has created a unified perspective on the value of data sharing spaces across the pillars of data, governance, people, organization, and technology, with trust as a central foundation. This chapter details this BDVA perspective, explaining the five pillars needed to create value in data with trust as a central concept, together with the tools and mechanisms for strategic stakeholders to create data sharing spaces jointly. It elaborates the strategic challenges which need to be overcome and sets out our call to action for the community to make this a reality. The chapter also summarizes the initial progress on data platform development, data governance, and Trustworthy AI to make data sharing spaces a reality. Finally, it details an example of a data space in smart manufacturing.

Topics & Concepts

EnablingBig dataData sharingData governanceKnowledge managementValue (mathematics)Computer scienceSpace (punctuation)Corporate governancePerspective (graphical)Key (lock)Data scienceBusinessData qualityComputer securityArtificial intelligenceMarketingFinanceAlternative medicineMachine learningPsychologyPsychotherapistMedicinePathologyOperating systemMetric (unit)Systems Engineering Methodologies and ApplicationsBig Data and Business IntelligenceDigital Transformation in Industry
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