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How to Build, Run, and Govern Data Spaces

Lars Nagel, Douwe Lycklama

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Abstract

Abstract This chapter is a result of a collaborative effort between data space and industrial domain experts to define cross-sectoral and across initiatives fundamental design principles to build data spaces. A joint paper of this dimension is unique and a great step with regard to the convergence of the large initiatives on data sharing in Europe. The starting point is the implementation in five years of the vision defined by EU Strategy for Data. In that world multiple data spaces will have been widely adopted across Europe, organizations and individuals will have control over their data and a digital world with less dominance of, and dependency on, large, quasi-monopolistic players has been formed. In the following, the way forward is elaborated with fundamentals of data spaces as well as common building blocks describing how the design principles for all sectors are applied to reveal sector-specific benefit. Furthermore, a proposal for governance and business models for data spaces on a collaborative and individual level is presented. Finally, the roadmap for co-creating the soft infrastructure underlying European data spaces is drawn.

Topics & Concepts

Data governanceComputer scienceDominance (genetics)Corporate governanceDimension (graph theory)Space (punctuation)Data sharingData scienceKnowledge managementProcess managementBusinessEngineeringOperations managementMathematicsAlternative medicinePure mathematicsOperating systemGeneFinanceData qualityMedicinePathologyMetric (unit)ChemistryBiochemistrySmart Cities and TechnologiesDigital Platforms and EconomicsUniversity-Industry-Government Innovation Models
How to Build, Run, and Govern Data Spaces | Litcius