Data Silos and Interoperability: The Primary Legal Issue in Digital Ecosystems for Data Spaces

Abstract

The modern healthcare system relies on interconnectivity between providers, technology improvements & other players to create complex ecosystems. Ecosystems are dependent on several person-centered models & the need for a high level of interchange & integration for successful care delivery. Leveraging big data to create value relies on data interoperability - or the ability to exchange & use standards-based data across corporate borders. Interoperability is the key to data-driven value creation in the digital economy in terms of administration & oversight, as explored through the lens of the new US health data legislation. The Data Sharing for Data Spaces Interoperability Architecture outlined in this paper is designed to allow for the exchange of data between participants in multiple data spaces by way of different services & platforms. By utilizing common standards by way of collaboratively agreed upon plans, and augmenting federation & participant services, the Data Sharing for Data Spaces Interoperability Architecture builds upon existing levels of trust among data space participants. The Data Sharing for Data Spaces Interoperability Architecture is composed of four components: deployment; data pipeline standards; subsystems for sharing data between data spaces; and an assortment of applications to support those who use them to enter & retrieve data. The Data Sharing for Data Spaces Interoperability Architecture has been tested using v2.x versions of the Data Sharing for Data Spaces reference model 2 and has been compared against multiple other interoperability approaches.