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Resources

  • Wikipedia as a source of historical knowledge

    EN
    A lesson on Wikipedia as a born-digital source of history and how to apply digital source criticism to it. The lesson invites historians to adapt their critical approach to Wikipedia as a born-digital source for historical research. More specifically, it suggests ways to apply digital source criticism to Wikipedia’s infrastructure and content and to explore potential uses of Wikipedia for historians. The lesson proposes a short introductory video and a set of five assignments. No specific technical skills are required to complete the assignments.

  • Data and Databases: An Introduction

    EN
    In this resource students will learn what a database is and how it is used in humanities research, go through examples of Humanities Databases in use by researchers today, learn when a researcher would need to use a database and how to distinguish between different database technologies.

  • Clustering and Visualising Documents Using Word Embeddings

    EN
    This lesson uses word embeddings and clustering algorithms in Python to identify groups of similar documents in a corpus of approximately 9,000 academic abstracts. It will teach you the basics of dimensionality reduction for extracting structure from a large corpus and how to evaluate your results.

  • Langzeitarchivierung

    DE
    Dieser Kurs gibt einen Einblick in die langfristige Bewahrung digitaler Daten, d.h. die Archivierung digitaler Daten. Es werden praktische Tipps aus der Perspektive der Datenersteller gegeben.

  • Photogrammetry 3D Digitisation

    EN
    This resource is an introduction to the photogrammetry technique to capture visual data about cultural heritage assets and produce associated 3D models.
    Authors
    • Karina Rodriguez Echavarria
    • Myrsini Samaroudi
    • Nicola Schiavottiello
    Read more →

  • Sentiment Analysis with 'syuzhet' using R

    EN
    This lesson teaches you how to obtain and analyse narrative texts for patterns of sentiment and emotion. The 'syuzhet' sentiment analysis algorithm, along with the programming language R, will be used, demonstrating the techniques to allow learners to follow along.

  • ENCODE open online course

    EN
    The ENCODE open online course 'Digital tools for the research and study of ancient writing cultures' is designed to introduce teaching staff, GLAM professionals, and graduates to ancient writing cultures and digital studies, exploring the digital transformations in the fields of Greek and Latin epigraphy, papyrology, and other aspects of ancient writing cultures.

  • FAIR Multidimensional Data

    EN
    This resource offers a starting point to learn more about the different types of multidimensional media, as well as managing media in a way which promotes the FAIR principles. The resource also introduces the concept of a Virtual Research Environment to support retrieval and curation of multidimensional data for storytelling via interoperable frameworks.

  • OCR with Google Vision API and Tesseract

    EN
    Google Vision and Tesseract are both popular and powerful OCR tools, but they each have their weaknesses. In this lesson, you will learn how to combine the two to make the most of their individual strengths and achieve even more accurate OCR results.

  • Einführung in Metadaten und Dokumentation

    DE
    Anschließend an die "Grundlagen des Datenmanagements" und der praktischen Übung zu Datenmanagement bietet dieser Kurs eine Einführung in das Thema Metadaten. Was sind Metadaten? Aus welchen Komponenten bestehen sie? Und welche Typen von Metadaten können wir unterscheiden?

  • An Introduction to Prosopography

    EN
    This resource helps students tackle key prosopography challenges, such as disambiguating individuals with the same name, handling anonymous entries, and recognizing fictional people, known as the Rusudan Problem. Additionally, this resource focuses on the theory of identity, where roles, titles, and historical presence may be disputed but still carry an assumed "correct" interpretation. Fluid identities—such as ethnicity, gender, and religion—are more complex and require careful modeling in databases. The course also covers how to scope projects effectively by defining clear research questions and boundaries.