Introduction: Standards are best explained in real life use cases. The Parthenos Standardization Survival Kit is a collection of research use case scenarios illustrating best practices in Digital Humanities and Heritage research. It is designed to support researchers in selecting and using the appropriate standards for their particular disciplines and workflows. The latest addition to the SSK is a scenario for creating a born-digital dictionary in TEI.
Introduction: This is a comprehensive account of a workshop on research data in the study of the past. It introduces a broad spectrum of aspects and questions related to the growing relevance of digital research data and methods for this discipline and which methodological and conceptual consequences are involved and needed, especially a shared understanding of standards.
Introduction: This post explains the benefits of using BEACON for data enrichment and increased visibility, on the example of Bibliografie deutsch-jüdische Geschichte Nordrhein-Westfalen.
Introduction: The post discusses the challenges that traditional philological approach has to face in creating digital corpora of critical editions of nonvernacular medieval works.
Introduction: This paper describes a project of applying LOD on the traditional catalog metadata.
Introduction: This post proposes the program and the video of a seminar on a software for 3D geographical data capture and visualization.
Introduction: Now that sources for research increasingly are digital sources, how do we establish the quality of such sources?
Introduction: A very interesting post written by Domenico Fiormonte on a more diverse and equal Digital Humanities. Fiormonte aims for a more critical digital humanities, but not only in relation to disciplines, methods or tools. He also emphazises on geopolitics and the Global South situation in the Digital Humanities field.
Introduction: This software paper describes ‘stylo’ – an R package for stylometric research and text processing.
Introduction: This conference report (with the conference podcast) outlines the TEI solutions for encoding oral corpus.