Introduction: The FAIR Data Principles (Findable, Accesible, Interoperable, Reusable) aim to make clear the need to improve the infrastructure for reuse of scholarly data. The FAIR Data Principles emphasize the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals, key activities for Digital Humanities research. The post below summarizes how Europeana’s principles (Usable, Mutual, Reliable) align with the FAIR Data ones, enhancing the findability, accessibility, interoperability, and reuse of digitised cultural heritage.
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 blog post describes how the National Library of Wales makes us of Wikidata for enriching their collections. It especially showcases new features for visualizing items on a map, including a clustering service, the support of polygons and multipolygons. It also shows how polygons like the shapes of buildings can be imported from OpenStreetMap into Wikidata, which is a great example for re-using already existing information.
Introduction: This article proposes establishing a good collaboration between FactMiners and the Transkribus project that will help the Transkribus team to evolve the “sustainable virtuous” ecosystem they described as a Transcription & Recognition Platform — a Social Machine for Job Creation & Skill Development in the 21st Century!
Introduction: Apart from its buoyant conclusion that authorship attribution methods are rather robust to noise (transcription errors) introduced by optical character recognition and handwritten text recognition, this article also offers a comprehensive read on the application of sophisticated computational techniques for testing and validation in a data curation process.
Introduction: The rperseus package provides classicists and other people interested in ancient philology and exegesis with corpora of texts from the ancient world (based on the Perseus Digital Library), combined with a toolkit designed to compare passages and selected words with parallels where the same expressions or words occur.
Introduction: What is the precise impact of digital humanities on the humanities in general? That this influence exists seems a given, but how the digital humanities impact humanities methodology en epistemology is still an open question. This article delves deeper into this problem of epistemology and presents a model of five ‘polarities’ along which these influences can be positioned.
Introduction: Concepts are described differently in different times, and the way people talk about them reveals much about how people perceive these concepts. Researchers of the eScience Center in Amsterdam together with scholars from Utrecht University developed a visual tool to gain insight into such concept shift.
Introduction: This article presents six different uses of networks based on graph theory in Digital Humanities projects.