Humanities in the Center of Data Usability: Data Visualization in Institutional Research Repositories

Research in the humanities is evolving with the introduction of data-driven methods and visualisation techniques that integrate different datasets such as images, videos, and texts. This change is supported by institutional research repositories that follow the FAIR principles (findability, accessibility, interoperability, and reusability) and fundamentally ensure that data is not only stored but also actively used for analyses. In contrast to conventionaldatabases, which often lack interoperability, FAIR-compliant repositories generally improve the findability, reproducibility, and citation of individual data elements. In order to enable the reproducibility of data in special formats such as TEI (Text Encoding Initiative), EpiDoc (Epigraphic Documents in TEI XML) or other project-specific formats according to the project-specific requirements for the visualization of the data, generic and user-friendly approaches are required, which an RDR (Research Data Repository) should offer. This article demonstrates a new approach to data management using RDRs, offering the option to visualise data on a project-specific basis with just a click. Additionally, it explains how to cite not only the entire dataset within an RDR but also specific sections, ensuring clarity and precision by guiding readers to the exact information or argument referenced.