Community Curation

The Social Sciences and Humanities Open Marketplace (SSHOMP) serves as a discovery portal for the Social Sciences and Humanities (SSH) research communities. It aggregates and contextualises solutions across the research data life cycle, facilitating the discovery of resources essential for sharing and re-using workflows. Currently hosting approximately 6,000 items from over 15 trusted sources, SSHOMP relies on community curation to ensure the catalogue remains current. To maintain high (meta)data quality, the platform employs curation routines that merge automated processes with manual tasks. In this contribution to the DARIAH Annual Event 2026, we present the SSHOMP through the lens of two specific community use cases—NFDI4Objects and Text+—to demonstrate the platform's inclusivity and technical uptake.

Expanding Community Access: NFDI4Objects

The first use case highlights the platform’s openness towards the archaeological and conservation communities via NFDI4Objects. A recent survey (Fischer/Witt 2025) revealed a high demand for accessible training materials on research data management (RDM) within the conservation community, where documentation practices remain heterogeneous and weakly standardised. As a sustainable, participatory platform, SSHOMP serves as an ideal hub for these materials, supporting self-study and formal training for early-career researchers. We demonstrate the seamless integration of training materials, significantly lowering the barrier for new user groups. Crucially, contextualisation ensures these resources are not isolated; they are linked alongside existing tools in the catalogue. This approach underscores SSHOMP’s commitment to inclusion, ensuring specific disciplinary resources are discoverable within the broader SSH ecosystem.

Infrastructural Agility and Technical Integration: Text+

The second use case focuses on Text+, the NFDI consortium for language- and text-based research data. Text+ has utilised SSHOMP to disseminate services since 2022 and expanded to training materials in 2025. This integration highlights the spectrum of technical embedding options offered by the platform:

• Custom Filtering: Text+ utilises adapted filtering based on the TaDIRAH taxonomy to display harvested resources.

• Web Environment Integration: Flexible data models allow for presenting harvested resources as browsable lists directly within external web environments.

• Variable Depth of Integration: Options range from low-complexity solutions (embedding search strings) to high-complexity integrations (direct rendering of resources within third-party websites).

• Metadata Enrichment: Where the standard model lacks granularity, resources are enriched to meet use-case-specific requirements, as demonstrated by the Text+ registry.

Bibliography

• Clara Petitfils, Suzanne Dumouchel, Nicolas Larrousse, Laure Barbot, Klaus Illmayer, Matej Ďurčo, Stefan Buddenbohm, & Tomasz Parkola. (2021). SSHOC D7.6 Resources for Marketplace content description (V1.0). Zenodo. https://doi.org/10.5281/zenodo.4558339
• Laure Barbot, Yoan Moranville, Frank Fischer, Clara Petitfils, Matej Ďurčo, Klaus Illmayer, Tomasz Parkoła, Philipp Wieder, & Sotiris Karampatakis. (2019). SSHOC D7.1 System Specification - SSH Open Marketplace (1.0). Zenodo. https://doi.org/10.5281/zenodo.4558302
• Stefan Buddenbohm, Lukas Weimer. Text+ Services Policy. Göttingen State and University Library. 2024, pp.9. ⟨halshs-04698855v2⟩
• Stefan Buddenbohm, Weimer, L., Barbot, L., Gray, E. J., Rissler-Pipka, N., & Jander, M. L. (2024). Guidelines for adding Text+ Services to the SSH Open Marketplace. Zenodo. https://doi.org/10.5281/zenodo.12657204
• Kristina Fischer, Witt, N. (2025). Zusammenfassung des Status Quo im Forschungsdatenmanagement für den Bereich der Konservierung-Restaurierung (Version v1). Zenodo. https://doi.org/10.5281/zenodo.17475354