Resources

• Git Version Control via Command Line

  EN

  This article introduces the main concepts in Git and basic Git commands that can be used from the command line. Understanding these commands will help you with using Git in a code editor, the Git desktop and other options, like GitHub online.

• Git: VS Code

  EN

  Getting access to the data on GitLab is different on all three operating systems. This post shows how to use the code editor VS Code with its graphical user interface for working collaboratively in Git with Windows, Mac and Linux.

• Evaluation of Digital Heritage Experiences

  EN

  This resource discusses various approaches and methods to evaluate digital or hybrid interactive experiences, which support the interpretation of heritage assets. The resource also aims to support researchers’ and practitioners’ practical understanding of evaluation methods and tools to capture audiences’ engagement with media and explore technology impact.

• Creating Interactive Visualizations with Plotly

  EN

  This lesson demonstrates how to create interactive data visualizations in Python with Plotly’s open-source graphing libraries using materials from the Historical Violence Database.

• Git Collaboration

  EN

  This short course will help learners understand how to work with Git in a collaborative setting such as teamwork or group projects, and how to make use of platforms like GitHub or GitLab to complete that work.

• Transcribing Handwritten Text with Python and Microsoft Azure Computer Vision

  EN

  Tools for machine transcription of handwriting are practical and labour-saving if you need to analyse or present text in digital form. This lesson will explain how to write a Python program to transcribe handwritten documents using Microsoft’s Azure Cognitive Services, a commercially available service that has a cost-free option for low volumes of use.

• Copyright of 3D Data

  EN

  This resource offers an introduction to copyright laws within the UK context when dealing with multidimensional media from repositories, archives and collections from that country.

• Automatic Text Recognition (ATR) - Getting Started

  EN

  Kick off your journey into Automatic Text Recognition (ATR) with our introductory tutorial video. This is the first video of a tutorial series dedicated to extracting full text from scanned images.

• 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.