Resources

• Using Spatial Data in Tableau

  EN

  Tableau is a powerful digital tool for analysing data that can help with mapping and interrogating data. In this short guide we will focus on an aspect of data analysis using mapping that has particular application for Holocaust and refugee studies.

• Use of vocabularies for metadata curation and quality assessment in Social Sciences and Humanities

  EN

  This event, organised in the framework of the TRIPLE project, provided insights into the use of “topical vocabularies” and their use in metadata curation and quality assessment in the Social Sciences and Humanities (in the EOSC context). The sessions introduces learners to have a better understanding of the interoperability challenges faced within/by the SSH branch of the EOSC, and be familiar with some initiatives related to metadata curation and enrichment in the SSH.

• Entity Matching

  EN

  EHRI (European Holocaust Research Infrastructure) supports the use of digital tools that can assist in the research of Holocaust and refugee related topics. In a continued effort to make these tools as accessible as possible so that researchers who have no experience with digital tools will consider trying new ways of using their data, this GitHub-based lesson showcases the use of entity match tools when dealing with geographic data.

• Data Journalism and AI: New frontiers in investigation and storytelling

  EN

  Data is now an indispensable part of investigative work and storytelling for journalists and newsrooms. Computational methods and artificial intelligence are making their way to newsrooms more than ever before, and promise to open up new opportunities for journalists, as well as new challenges. This talk provides an overview of how data and Artificial Intelligence can be used in the journalism workflow, investigative reporting and storytelling.

• What Can I Do With This Messy Spreadsheet? Converting from Excel Sheets to Fully Compliant EAD-XML files

  EN

  Many Galleries, Libraries, Archives, and Museums (GLAMs) face difficulties sharing their collections metadata in standardised and sustainable ways, meaning that staff rely on more familiar general purpose office programs such as spreadsheets. However, while these tools offer a simple approach to data registration and digitisation they don’t allow for more advanced uses. This blogpost from EHRI explains a procedure for producing EAD (Encoded Archival Description) files from an Excel spreadsheet using OpenRefine.

• More Watching, Less Searching: Repurposing Fortunoff Archive Metadata for Visual Searching

  EN

  The Fortunoff Visual Search is a tool for both data visualisation and collection discovery from the Fortunoff Video Archive for Holocaust Tesimonies. This blogpost demonstrates the Visual Search tool in the Fortunoff Video Archive, including the search and filtering interface, as well as interpreting the resulting visualisations

• How to Learn and Love Digital Text in Four Easy Steps

  EN

  Is ChatGPT unsettling you? Are you annoyed to always land on the same webportal when googling for a specific book? Do you hate it when just the one page you need to consult is nowhere to be found on the internet? This presentation by Anne Baillot is for you!

• Using Named Entity Recognition to Enhance Access to a Museum Catalog

  EN

  This blog discusses the applicability of services such as automatic metadata generation and semantic annotation for automatic extraction of person names and locations from large datasets. This is demonstrated using Oral History Transcripts provided by the United States Holocaust Memorial Museum (USHMM).

• Spatial Queries and the First Deportations from Slovakia

  EN

  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

  EN

  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)

  EN

  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

  EN

  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.