Data Linking Workshop 2024: Dataset Provision and Citation in the Digital Age

Research in the humanities is evolving with the introduction of data-driven methods and visualization 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 conventional databases, 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 presentation of the data, generic and user-friendly approaches are required, which an RDR (Research Data Repository) should offer. In this article, we therefore show the new form of data management with RDRs with the possibility of integrating the new functionality of visualizing data on a project-specific basis at the click on a button. In addition, we show how it is possible to cite not only the entire dataset in an RDR itself, but also part of the content to ensure clarity and precision, directing readers to the exact information or argument referenced. This entry includes the following presentations from the Data Linking Workshop 2024: Dataset Provision and Citation in the Digital Age Sylvia Melzer, Ralf Möller: <strong>Introduction into FAIR Data Management at UWA </strong> Hagen Peukert, Lucas F. Voges, Ralf Möller, Sylvia Melzer: <strong>Humanities in the Center of Data Usability: Data Visualization in Institutional Research Repositories </strong> Florian Marwitz: <strong>Demonstration: Visualizing Data in Institutional Research Repositories on Demand? </strong> Magnus Bender: <strong>Comply with FAIR Principles <em>at UWA</em> </strong> Thomas Asselborn: <strong>Make Your Data Interoperable and Reusable: How to Use Your Data for Training? </strong>