For the creation of state-of-the-art Language Technology (LT) applications, language data plays a crucial role. Many organisations, however, face challenges in collecting the necessary amount of language data required for the development of competitive language-centric AI. Data sharing can thus be a solution and is increasingly considered as the best way towards a truly sustainable language data management, fostering both research and innovation.
Within this context, the Common European Data Spaces are becoming more and more relevant, as they can ensure that more data becomes available for use in economy, society and research, while the companies and individuals generating the data retain control over it.