Technological Perspective of Data Governance in Data Space Ecosystems

Abstract

Data has been identified as a valuable input to boost enterprises. Nowadays, with the vast quantity of data available, a favorable scenario is established to exploit it, but crucial challenges must be addressed, highlighting its sharing and governance. In this context, the data space ecosystem is the cornerstone which enables companies to share and use valuable data assets. However, appropriate Data Governance techniques must be established to benefit from such opportunity considering two levels: internal to the organization and at the level of sharing between organizations. At a technological level, to reach this scenario, companies need to design and provision adequate data platforms to deal with Data Governance in order to cover the data life-cycle. In this chapter, we will address questions such as: How to share data and extract value while maintaining sovereignty over data, confidentiality, and fulfilling the applicable policies and regulations? How does the Big Data paradigm and its analytical approach affect correct Data Governance? What are the key characteristics of the data platforms to be covered to ensure the correct management of data without losing value? This chapter explores these challenges providing an overview of state-of-the-art techniques.

Towards Trusted Data Sharing and Exchange in Agro-Food Supply Chains: Design Principles for Agricultural Data Spaces

“…In a broader context, data governance entails the proper management and upkeep of data resources and related activities [39]. In the context of the DE, data governance extends to encompass a set of shared principles and regulations that all participants must uphold to establish a trusted data space where diverse stakeholders can access and utilize data with confidence.…”