Fruth, LeonLeonFruth0009-0001-2128-3025Geißler, NilsNilsGeißlerGradl, TobiasTobiasGradl0000-0002-1392-2464Schulz, DanielaDanielaSchulz2026-04-132026-04-132025https://fis.uni-bamberg.de/handle/uniba/114701Text+ is a consortium of the German National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur, NFDI). With an initial focus on the three data domains collections, lexical resources, and editions, Text+ aims at constructing a research data infrastructure that is both flexible and scalable, catering to the unique requirements of academic disciplines that work with textual and linguistic data, but also beyond. Its goal is to further develop standards and best practices to make data available according to the FAIR principles (Findable, Accessible, Interoperable, Reusable). As an initiative of the community for the community, the consortium provides a whole range of services, data and consulting for institutions, projects and individual researchers. One pivotal component within the Text+ infrastructure is the Text+ Registry, which is designed as a unified cataloguing system for the diverse set of resources from the data domains. The Registry builds on data that has been gathered and made accessible by existing databases and catalogues (like Greta Franzini’s Dig-Ed-Cat and Patrick Sahle’s Catalog of Digital Scholarly Editions, library or union catalogues, research information systems of funding bodies such as AGATE). An often lacking integration with external knowledge bases and contextual biases (discipline, type of resource) in external sources are resolved by compiling descriptions from multiple sources wherever available and possible. Remaining gaps are filled in a manual curation layer by respective domain experts. In order to be able to accommodate the diverse resource landscape, the Registry is technologically based on a sophisticated metamodelling concept that allows the definition and evolution of dedicated data models for different types of resources, and enables the import, curation and provision of resource descriptions. APIs for data ingest from existing catalogues and data provision are provided, and search and retrieval tools such as the CLARIN Federated Content Search (FCS) and the DARIAH-DE Generic Search (GS) build on these interfaces. The Text+ Registry should not only increase the visibility of scientific resources, but also overcome the traditional barriers that hinder their discoverability and accessibility. The data models in the Text+ Registry are tailored to different requirements for each data domain and were developed based on relevant subject-specific standards and best practices, as well as in direct collaboration with the communities (e.g. Specialised Information Services, SIS). The formalisation of relationships between collections, editions and lexical resources, as well as tools, actors and other entity types, creates a resource network that can also be expanded over and above Text+ to prepare for integration into further developments within the NFDI context such as knowledge graphs. The paper presents the technologies and methodologies behind the Text+ Registry and reflects on challenges, opportunities but also limitations. Taking the data model for cataloguing editions as an example, the metamodelling approach as well as the architectural blueprint of the Text+ Registry are presented.engText+Data IntegrationMetadata CataloguesDigital Humanitiesconferenceobjecthttps://www.dhi.ac.uk/books/dhc2024