Digital text-based research in the Digital Humanities increasingly relies on a diverse ecosystem of specialised tools, repositories, and computational environments. Despite this richness, interaction between these components often remains fragmented. Transitions between analysis, interface, data management, and publication are particularly challenging: repositories typically function as endpoints, user interfaces are developed on a project-specific basis, and analytical workflows are often tied to local or ephemeral environments. This fragmentation not only complicates the reproducibility of research but also introduces inefficiencies and barriers to collaborative work, long-term data management, and iterative publication practices.

The poster will visualise new developments for the TextGrid repository, highlighting the integration of repository services, notebook-based workflows, and the Jupyter4NFDI infrastructure. Rather than presenting Jupyter merely as a notebook environment, the contribution conceptualises it as an infrastructural binding layer connecting analysis, interface, repository access, and process-oriented publication practices. By illustrating key stages of development, system components, and exemplary workflows—including the publication pipeline and on-demand text processing—the poster demonstrates how Jupyter functions as a sustainable interface infrastructure that structurally supports reuse, further processing, and iterative publication of text-based research data within a coherent, scalable architecture.