The aim of Text+ is to build a research data infrastructure focused on text and language data for the humanities and for other language and text-related disciplines. Text+ will be flexible and scalable and thus open to different discipline-specific requirements. By providing high-quality research data, Text+ will support the highest degree of methodological diversity, which in turn is a prerequisite for innovative and transdisciplinary research. Text+ focuses on collections, lexical resources and editions. These data domains have a long research tradition and are linked to mature methodological paradigms that require distinctive but also cross-domain practices of data generation, curation and management. The three data domains are indispensable for a wide range of disciplines, including Classics, Linguistics and Literary Studies, Social and Cultural Anthropology, Non-European Cultures, Jewish Studies and Religious Studies, Philosophy, as well as for language- and text-based research in the social and political sciences. Already at the beginning of Text+, 26 data centres with proven expertise and technical maturity will be involved. They will provide the data, tools and services for analysis and re-use and ensure a high level of subject breadth. By grouping data, tools and services into thematic clusters, an optimal bundling is achieved. 34 institutions are participating in Text+, representing the disciplines addressed by Text+ with the greatest possible breadth: Research libraries, universities, data centres of the Digital Humanities, members of the German Academic Union and the Leibniz Association. In addition, there are leading data centres that ensure robust and persistent operation of the services for a distributed research data infrastructure. The high level of interest in Text+ is not only evidenced by the substantial own funds provided by the institutions, but is also documented by over 120 research-led user stories and the large number of letters of support for Text+ from the disciplines involved. At the centre of the steering structure are three scientific coordination committees for the data domains and one for the infrastructure. Their task is to continuously evaluate the portfolio of data, tools and services and to drive its further development according to the priorities of the participating subject disciplines in coordination with the infrastructure providers. The Research Data Management Strategy is the key instrument for implementing the overarching goals of Text+ in the NFDI context. It paves the way for the integration of data, tools and services into an infrastructure that meets relevant standards and implements the FAIR and CARE principles.

(Source DFG, Translated with www.DeepL.com/Translator (free version))