Resources

• Spatial Queries and the First Deportations from Slovakia

  In the late 1930s, just before war broke in Europe, a series of chaotic deporations took place expelling thousands of Jews from what is now Slovakia. As part of his research, Michel Frankl investigates the backgrounds of the deported people, and the trajectory of the journey they were taken on. This practical blog describes the tools and processes of analysis, and shows how a spatially enabled database can be made useful for answering similar questions in the humanities, and Holocaust Studies in particular.

• Geographical Text Analysis

  Geographical Text Analysis (GTA) is a relatively recent development in the approach to studying, analysing, and extracting the content of textual sources that offers a new method for combining techniques from Natural Language Processing (NLP), Corpus Linguistics, and Geographic Information Systems (GIS) in Humanities research. This module offers a step-by-step guide with real data, with a focused interest in querying the geographic nature of textual sources, and analysis of spatial information on a large scale.

• Windows Subsystem for Linux (WSL)

  Many tools and examples that are of interest to those wishing to explore, experiment, and develop projects for digital humanities or data analysis and other tasks are based on a Linux operating system. Mac iOS laptops support Linux fairly easily. However, until recently, Windows OS users have had difficulty in accessing programs and techniques that require a Linux operating system. This short tutorial will demonstrate a simple way for most Windows 10 users to run Linux programs and systems through Windows Subsystem for Linux (WSL).

• Extracting CSV Data from the EHRI Search API

  The EHRI (European Holocaust Research Infrastructure) Search API provides a way to retrieve information about items in the EHRI portal in JSON (JavaScript Object Notation) format by making HTTP requests to particular URLs. This short tutorial shows learners how use a command line tool (CuRL) to fetch structured data and transform it into CSV (comma separated values) format for import into a spreadsheet like Excel or Google Docs.

• Queens of Humanities

  How do we tell the story of humanities as the essence of understanding humankind in all its aspects and bring it back to the table as an equal partner of science? Seeking an answer to this question, this webinar (delivered as part of the DARIAH Friday Frontiers series) presents the scope and dissemination of the Queens of Humanities campaign that ran in 2022, led by OPERAS-PL. Its purpose was to promote innovative humanistic approaches and show their relevance in today’s world.

• Importing tables from websites into spreadsheets

  Sometimes it can be useful to take information from a website, such as document lists from archives, for future reference. This short resource will show the user how to download an extension to copy tables from websites and then import the table into a spreadsheet program.

• Using OpenCV for Face Detection

  OpenCV is a very popular, free and open source software system used for a large variety of computer vision applications. This article is intended to help you get started in experimenting with OpenCV using an example of face detection in images as a case study.

• Building and Linking Humanities' Digital Spatial Infrastructures

  This workshop, focussing on "Spatial data medieval to modern", is the first of a series of workshops from the NOS-HS project "Linking, Building, and Sustaining Humanities Digital Spatial Infrastructures for Research in the Nordic Countries". The main aims of this workshop were to define key concepts (spatial infrastructures, Linked Open Data, metadata, ontology), outline major challenges in the field, and to provide an opportunity to share experiences of addressing the issues in individual and national projects across the Nordic countries.

• quod: A Tool for Querying and Organising Digitised Historical Documents

  This blog post from EHRI introduces 'quod' (querying OCRed documents), a prototype Python-based command line tool for OCRing and querying digitised historical documents, which can be used to organise large collections and improve information about provenance. To demonstrate its use in context, this blog takes the reader through a case study of the International Tracing Service, showing workflows and the steps taken from start to finish.

• Exploratory Topic Modelling in Python

  Topic modelling is a technique by which documents within a corpus are clustered based on how certain groups of terms are used together within the text. The commonalities between such term groupings tend to form what we would normally call “topics”, providing a way to automatically categorise documents by their structural content, rather than a more metadata-based knowledge system. Using resources held with EHRI's collections, this notebook offers learners an introduction to 'LDA' topic modelling using Python in a step-by-step guide.

• Mapping Science in Immersive Architectures

  In this webinar from Friday Frontiers, Dario Rodighiero (University of Groningen) discusses visualisation and representation of scholarly knowledge. This presentation brings science mapping back to its original meaning by widening its context to arts and humanities with the help of design.

• How to Capture and Reference a Webpage in your Research Using Zotero

  The need to reference webpages in academic work is growing all the time, particularly in the digital humanities. There are many different reference management systems that exist to help researchers sort and find their sources and the most accessible of these is Zotero.