<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xml" href="https://training.galaxyproject.org/training-material/feed.xslt.xml"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <generator uri="https://jekyllrb.com/">Jekyll</generator>
  <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/feed.xml" rel="self"/>
  <link rel="alternate" href="https://training.galaxyproject.org/training-material/topics/digital-humanities/"/>
  <updated>2026-04-08T11:25:53+00:00</updated>
  <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/feed.xml</id>
  <title>Digital Humanities</title>
  <subtitle>Recently added tutorials, slides, FAQs, and events in the digital-humanities topic</subtitle>
  <logo>https://training.galaxyproject.org/training-material/assets/images/GTN-60px.png</logo>
  <entry>
    <title>🛠️ Transcription Speech to Text (imported from uploaded file)</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/Whisper_speech_recognition/workflows/main_workflow.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/Whisper_speech_recognition/workflows/main_workflow.html</id>
    <updated>2026-04-08T11:25:53+00:00</updated>
    <category term="workflows"/>
    <category term="digital-humanities"/>
    <category term="whisper"/>
    <category term="transcription"/>
    <category term="audio"/>
    <category term="video"/>
    <summary>This Workflow transcribes a video or audio with multiple speakers. After transcription, it allocates the names of the speakers and groups and cleans passages from the two main speakers for further analysis.</summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <category term="contributions:authorship:Sch-Da"/>
  </entry>
  <entry>
    <title>📚 Transcribing Audio and Video files with Automated Speech Recognition</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/Whisper_speech_recognition/tutorial.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/Whisper_speech_recognition/tutorial.html</id>
    <updated>2026-04-08T11:25:53+00:00</updated>
    <category term="digital-humanities"/>
    <category term="audio"/>
    <category term="video"/>
    <summary>Audio and media files are a rich source in the social sciences and the humanities.

</summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <contributor>
      <name>Armin Dadras</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/dadrasarmin/</uri>
    </contributor>
    <contributor>
      <name>Saskia Hiltemann</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/</uri>
    </contributor>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <category term="contributions:authorship:Sch-Da"/>
    <category term="contributions:testing:dadrasarmin"/>
    <category term="contributions:funding:deKCD"/>
    <category term="contributions:funding:deNBI"/>
    <category term="contributions:funding:mwk"/>
    <category term="contributions:reviewing:shiltemann"/>
    <category term="contributions:reviewing:dadrasarmin"/>
    <category term="contributions:reviewing:Sch-Da"/>
  </entry>
  <entry>
    <title>📅 How can I analyse my texts, media, and data in the humanities and social sciences?</title>
    <link href="https://training.galaxyproject.org/training-material/events/2025-11-26-TKFDM.html"/>
    <id>https://training.galaxyproject.org/training-material/events/2025-11-26-TKFDM.html</id>
    <updated>2025-10-21T13:07:41+00:00</updated>
    <category term="event"/>
    <category term="digital-humanities"/>
    <category term="introduction to Galaxy"/>
    <category term="deKCD"/>
    <summary>You want to analyse your media, text or data digitally, but do not know how? You only have a laptop but no programming skills or money for expensive programs? Do you want to consider good research data management, but do not know how? Galaxy is here for you!  
This coffee lecture hosted by FDM Thüringen gives you a quick overview of how you can use the open source platform Galaxy (usegalaxy.eu) for your research. While the platform is agnostic, we mainly introduce use cases from the Humanities and Social Sciences in this session.  
</summary>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <category term="contributions:organisers:Sch-Da"/>
    <category term="contributions:funding:deKCD"/>
    <category term="contributions:funding:deNBI"/>
  </entry>
  <entry>
    <title>🛠️ Visualise amount of objects in Museum Collection</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/open-refine-tutorial/workflows/Visualise-amount-of-objects-in-Museum-Collection.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/open-refine-tutorial/workflows/Visualise-amount-of-objects-in-Museum-Collection.html</id>
    <updated>2025-09-24T13:32:07+00:00</updated>
    <category term="workflows"/>
    <category term="digital-humanities"/>
    <category term="openrefine"/>
    <category term="culturedata"/>
    <category term="4culture"/>
    <category term="visualisation"/>
    <category term="tabulardata"/>
    <category term="textcleaning"/>
    <summary>Text mining a museum collection in tabular format to extract from which year most objects derive and what they are.</summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <category term="contributions:authorship:Sch-Da"/>
  </entry>
  <entry>
    <title>📚 OpenRefine Tutorial for researching cultural data</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/open-refine-tutorial/tutorial.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/open-refine-tutorial/tutorial.html</id>
    <updated>2025-09-24T13:32:07+00:00</updated>
    <category term="digital-humanities"/>
    <summary>This tutorial shows how to use OpenRefine in Galaxy to clean and visualize data from the humanities and social sciences. It has two parts:
</summary>
    <author>
      <name>Diana Chiang Jurado</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/dianichj/</uri>
    </author>
    <author>
      <name>Armin Dadras</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/dadrasarmin/</uri>
    </author>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <contributor>
      <name>Diana Chiang Jurado</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/dianichj/</uri>
    </contributor>
    <contributor>
      <name>Armin Dadras</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/dadrasarmin/</uri>
    </contributor>
    <contributor>
      <name>Saskia Hiltemann</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/</uri>
    </contributor>
    <category term="contributions:authorship:dianichj"/>
    <category term="contributions:authorship:dadrasarmin"/>
    <category term="contributions:authorship:Sch-Da"/>
    <category term="contributions:reviewing:Sch-Da"/>
    <category term="contributions:reviewing:dianichj"/>
    <category term="contributions:reviewing:dadrasarmin"/>
    <category term="contributions:reviewing:shiltemann"/>
    <category term="contributions:testing:dadrasarmin"/>
    <category term="contributions:funding:nfdi4culture"/>
  </entry>
  <entry>
    <title>🛠️ Introduction to DH in Galaxy</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/introduction_to_dh/workflows/introduction-to-digital-humanities.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/introduction_to_dh/workflows/introduction-to-digital-humanities.html</id>
    <updated>2025-09-11T10:05:34+00:00</updated>
    <category term="workflows"/>
    <category term="digital-humanities"/>
    <category term="Introduction"/>
    <category term="DH"/>
    <category term="DigitalHumanities"/>
    <category term="textcleaning"/>
    <summary>22_04_30: WF Update

The workflow serves as a short introduction to Galaxy for users from the Humanities who mostly work with texts. </summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <category term="contributions:authorship:Sch-Da"/>
  </entry>
  <entry>
    <title>📚 Introduction to Digital Humanities in Galaxy</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/introduction_to_dh/tutorial.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/introduction_to_dh/tutorial.html</id>
    <updated>2025-09-11T10:05:34+00:00</updated>
    <category term="digital-humanities"/>
    <category term="text mining"/>
    <summary>Loosely building on Richardson 2003, this tutorial compares two editions of the poem “The Sorrows of Yamba”.1

</summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <author>
      <name>Rand Zoabi</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/RZ9082/</uri>
    </author>
    <contributor>
      <name>Björn Grüning</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/bgruening/</uri>
    </contributor>
    <contributor>
      <name>Rand Zoabi</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/RZ9082/</uri>
    </contributor>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <contributor>
      <name>Saskia Hiltemann</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/</uri>
    </contributor>
    <category term="contributions:authorship:Sch-Da"/>
    <category term="contributions:authorship:RZ9082"/>
    <category term="contributions:funding:deKCD"/>
    <category term="contributions:funding:mwk"/>
    <category term="contributions:funding:deNBI"/>
    <category term="contributions:reviewing:bgruening"/>
    <category term="contributions:reviewing:RZ9082"/>
    <category term="contributions:reviewing:Sch-Da"/>
    <category term="contributions:reviewing:shiltemann"/>
  </entry>
  <entry>
    <title>📅 Introduction to Galaxy, the Open-Source Platform for FAIR Data Analysis (in German)</title>
    <link href="https://training.galaxyproject.org/training-material/events/2025-12-02-hefdi.html"/>
    <id>https://training.galaxyproject.org/training-material/events/2025-12-02-hefdi.html</id>
    <updated>2025-09-02T10:52:14+00:00</updated>
    <category term="event"/>
    <category term="digital-humanities"/>
    <category term="introduction to Galaxy"/>
    <summary>Are you new to e-science? Do you want to learn ways to analyse your material with digital tools from your browser without any programming skills? Do you want to get an idea of research data management? Register for our introduction at the HeFDI Data School to find out more. **Note: This course will be held in German.**
</summary>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <category term="contributions:organisers:Sch-Da"/>
    <category term="contributions:funding:deKCD"/>
  </entry>
  <entry>
    <title>📅 Galaxy: The Open Source Platform as an entry point to Digital Humanities and Research Data Management</title>
    <link href="https://training.galaxyproject.org/training-material/events/2025-09-17-ws-historikertag.html"/>
    <id>https://training.galaxyproject.org/training-material/events/2025-09-17-ws-historikertag.html</id>
    <updated>2025-07-02T08:32:13+00:00</updated>
    <category term="event"/>
    <category term="digital-humanities"/>
    <category term="history"/>
    <summary>Are you new to digital history? Do you want to learn ways to analyse your sources with digital tools from your browser without any programming skills? Do you want to get an idea of research data management? Register for our course at the Historikertag 2025 in Bonn to find out more. **Note: This course will be held in German.**
</summary>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <category term="contributions:organisers:Sch-Da"/>
    <category term="contributions:funding:deKCD"/>
    <category term="contributions:funding:nfdi4plants"/>
  </entry>
  <entry>
    <title>📅 Introduction to Galaxy for Digital Humanities and Research Data Management</title>
    <link href="https://training.galaxyproject.org/training-material/events/2025-05-19-dh-lab.html"/>
    <id>https://training.galaxyproject.org/training-material/events/2025-05-19-dh-lab.html</id>
    <updated>2025-05-07T15:14:00+00:00</updated>
    <category term="event"/>
    <category term="digital-humanities"/>
    <summary>Researchers entering the Digital Humanities are often confronted with high software costs, a lack of programming skills, and limited computing resources. So, how can efficient and good scientific practice be achieved including good research data management?
</summary>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <category term="contributions:organisers:Sch-Da"/>
    <category term="contributions:funding:deKCD"/>
  </entry>
  <entry>
    <title>🛠️ Text-Mining Differences in Chinese Newspaper Articles</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/text_mining_chinese/workflows/main_workflow.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/text_mining_chinese/workflows/main_workflow.html</id>
    <updated>2025-02-28T12:12:48+00:00</updated>
    <category term="workflows"/>
    <category term="digital-humanities"/>
    <category term="Humanities"/>
    <category term="comparison"/>
    <category term="text"/>
    <category term="diff"/>
    <category term="text_mining"/>
    <category term="DigitalHumanities"/>
    <category term="Chinese-language"/>
    <summary>V 20 Renamed several output datasets in workflow</summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <category term="contributions:authorship:Sch-Da"/>
  </entry>
  <entry>
    <title>📚 Text-Mining Differences in Chinese Newspaper Articles</title>
    <link href="https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/text_mining_chinese/tutorial.html"/>
    <id>https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/text_mining_chinese/tutorial.html</id>
    <updated>2025-02-28T12:12:48+00:00</updated>
    <category term="digital-humanities"/>
    <category term="text mining"/>
    <summary>The British Hong Kong Government censored Chinese newspapers before their publication in the colony in the 1930s (Ng 2022).

</summary>
    <author>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </author>
    <contributor>
      <name>Björn Grüning</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/bgruening/</uri>
    </contributor>
    <contributor>
      <name>Daniela Schneider</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/</uri>
    </contributor>
    <contributor>
      <name>Saskia Hiltemann</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/</uri>
    </contributor>
    <contributor>
      <name>Teresa Müller</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/teresa-m/</uri>
    </contributor>
    <contributor>
      <name>Helena Rasche</name>
      <uri>https://training.galaxyproject.org/training-material/hall-of-fame/hexylena/</uri>
    </contributor>
    <category term="contributions:authorship:Sch-Da"/>
    <category term="contributions:funding:deKCD"/>
    <category term="contributions:funding:mwk"/>
    <category term="contributions:funding:deNBI"/>
    <category term="contributions:reviewing:bgruening"/>
    <category term="contributions:reviewing:Sch-Da"/>
    <category term="contributions:reviewing:shiltemann"/>
    <category term="contributions:reviewing:teresa-m"/>
    <category term="contributions:reviewing:hexylena"/>
  </entry>
</feed>
