Inhaltszusammenfassung

Data has become a key asset in today’s digital economies. To handle vast amounts of diverse data with distinct ownership from different contexts and organizational settings, data platforms—along with the concept of data ecosystems—have recently become a research field of high scholarly interest. This article reviews existing literature on data platforms and introduces a reference architecture designed to enable the deployment of data platforms for secure and trustworthy data storage, analysis...Data has become a key asset in today’s digital economies. To handle vast amounts of diverse data with distinct ownership from different contexts and organizational settings, data platforms—along with the concept of data ecosystems—have recently become a research field of high scholarly interest. This article reviews existing literature on data platforms and introduces a reference architecture designed to enable the deployment of data platforms for secure and trustworthy data storage, analysis, and sharing in multi-organizational settings. The proposed architecture is adaptable to various scenarios and requirements. Through a structured analysis of existing literature, the study identifies five key architectural solutions for multi-organizational data platforms. Through an in-depth examination of selected studies, the findings from the literature analysis on the core technological building blocks are substantiated across the different layers of these platforms. The research also incorporates two use cases from our own research projects where we utilize multi-organizational data platforms. These use cases provide practical insights into architectural building blocks. Based on the findings from the literature review and the two use cases, we derive a comprehensive reference architecture tailored for multi-organizational collaborations.» weiterlesen» einklappen

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