This contribution discusses an innovatively stratified collection of German language data, ranging from informal spoken interactions to formal written texts. It highlights methods for analyzing linguistic patterns using natural language processing, with a particular focus on discourse markers and a machine learning model for identifying them across diverse communicative contexts.

Research Infrastructures (RIs) in the humanities actively shape our understanding of the world. Using examples of bibliographies and corpora, this paper examines how methodological choices in building RIs in digital literary studies influence representation, advocating for open infrastructures to ensure inclusivity and a more nuanced understanding of the literary landscape.

With the rise of LLM and the increasing computational expense of AI, humanists will increasingly turn to high-performance computing (HPC). This can be an alienating pivot for many researchers. As a Research Data Facilitator with a decade of HPC experience, I will present models for effectively integrating humanists into HPC.

The paper examines key features of research infrastructures in humanities and cultural heritage that support open science, focusing on federated RIs as marketplaces connecting diverse networks. It discusses the technological foundation and API orchestration for DH workflows within the H2IOSC MarketPlace, highlighting contributions of the OPERAS node to this project.

As the triad of publishing a paper, data and code poses challenges for the comprehensibility, reproducibility, and accessibility of the research, we present our approach towards a "modularised open infrastructure for research publications” in which a publication is accompanied by modules facilitating e.g.reproduction or result investigation.