Data ecosystems and data spaces are topics of growing interest in recent years as approaches for enabling the sharing of data among organizations and sectors such as industry, research and public administration, both to support data-driven applications and businesses and to support the generation of new insights from larger collections of data.
One example of the data space's role is the European strategy for data. It aims at creating a single market for data that will ensure Europe’s global competitiveness and data sovereignty. Common European data spaces will ensure that more data becomes available for use in the economy and society, while keeping the companies and individuals who generate the data in control.
In Europe data governance regulations will empower users to stay in control of their data, and encourage the creation of common European data spaces in crucial sectors. These sectors include health, the environment, energy, agriculture, mobility, finance, manufacturing, public administration, and skills.
Definition of data space(s) is not yet well established but is it clear that research data has remarkable role with it. Additionally, data spaces include other entities than data like resource which use needs for data usage. Usually sata sovereignty has connected to data spaces along user identification and FAIR principles.
Globally, related terms are Data Commons and Data Ecosystems, which have however bit different definitions.
Objective of this session is to discuss following topics:
- Nature and definition of the data spaces and its functionalities
- Significance of data spaces to the FAIR research data sharing
- Significance of FAIR principles to the data spaces
- Data spaces in the global context, is it only European phenomenon or does it have global approaches too
- Exploring possibilities and/or needs to have further discuss about data spaces in the RDA interest group or working group