The Text+ Registry: Facilitating Cross-Domain Resource Discovery

The fragmented landscape of scholarly resources presents significant challenges for researchers seeking textual and linguistic data. Resources developed across different projects and institutions often follow varying standards, lack common access points, and suffer from limited interoperability. The Text+ Registry addresses these challenges as a unified cataloguing system within Germany's National Research Data Infrastructure (NFDI), specifically designed to enhance FAIR data practices across thedomains of collections, lexical resources, and editions. Built on three architectural principles—metamodeling, model-driven design, and information layering—the Registry handles multiple data models simultaneously without requiring system-wide redesign when integrating new resource types. Unlike traditional catalogues focused on specific disciplines or formats, our metamodeling approach enables the system to accommodate heterogeneous metadata while maintaining semantic integrity. The model-driven design generates application components from formal models, ensuring technology independence and scalability beyond the current scope. The Registry's information layering system preserves full provenance while creating enriched resource descriptions. Metadata from multiple sources (including AGATE research information system, catalogues, and databases) are ingested, then stacked as distinct layers with transparent attribution. Manual expert curation supplements automated aggregation without compromising source integrity. This approach produces consolidated descriptions offering more than the sum of their parts. Integration with authority files (e.g. GND) and an instance of the Research Software Directory creates a rich semantic network connecting textual resources with software tools and institutional actors. The Registry's Search API enables external services like PhilFinder to leverage harmonised metadata through standardised queries, while DataCite mappings facilitate cross-domain discovery. Our poster showcases the technical implementation addressing harmonisation challenges, practical metadata integration workflows, and the transformation of heterogeneous information into rich resource descriptions. It also places the Registry as a component of an interconnected research infrastructure within NFDI and beyond.

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Publication Details

Journal
Open MIND
Published
2026-04-29
DOI
https://doi.org/10.5281/zenodo.20036812
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

The Text+ Registry: Facilitating Cross-Domain Resource Discovery

Nils Geißler, Tobias Gradl, Martin Sievers, Leon Fruth et al.
Open MIND
Research Data Management Practices
article

The Text+ Registry: Facilitating Cross-Domain Resource Discovery

Nils Geißler, Tobias Gradl, Martin Sievers, Leon Fruth, Kilian Erasmus Hensen, Daniela Schulz
article en

Abstract

The fragmented landscape of scholarly resources presents significant challenges for researchers seeking textual and linguistic data. Resources developed across different projects and institutions often follow varying standards, lack common access points, and suffer from limited interoperability. The Text+ Registry addresses these challenges as a unified cataloguing system within Germany's National Research Data Infrastructure (NFDI), specifically designed to enhance FAIR data practices across thedomains of collections, lexical resources, and editions. Built on three architectural principles—metamodeling, model-driven design, and information layering—the Registry handles multiple data models simultaneously without requiring system-wide redesign when integrating new resource types. Unlike traditional catalogues focused on specific disciplines or formats, our metamodeling approach enables the system to accommodate heterogeneous metadata while maintaining semantic integrity. The model-driven design generates application components from formal models, ensuring technology independence and scalability beyond the current scope. The Registry's information layering system preserves full provenance while creating enriched resource descriptions. Metadata from multiple sources (including AGATE research information system, catalogues, and databases) are ingested, then stacked as distinct layers with transparent attribution. Manual expert curation supplements automated aggregation without compromising source integrity. This approach produces consolidated descriptions offering more than the sum of their parts. Integration with authority files (e.g. GND) and an instance of the Research Software Directory creates a rich semantic network connecting textual resources with software tools and institutional actors. The Registry's Search API enables external services like PhilFinder to leverage harmonised metadata through standardised queries, while DataCite mappings facilitate cross-domain discovery. Our poster showcases the technical implementation addressing harmonisation challenges, practical metadata integration workflows, and the transformation of heterogeneous information into rich resource descriptions. It also places the Registry as a component of an interconnected research infrastructure within NFDI and beyond.

Open MIND
Herzog August Library (DE), Academy of Sciences and Literature (DE), University of Bamberg (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Research Data Management Practices
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