DARIAH-ERIC/dariah-campus

[new resource]: Automatic Text Recognition (ATR) - Video 6: End formats and Reusability

Mareike2405 opened this issue · 1 comments

Mareike2405 commented

Title of the resource

Automatic Text Recognition (ATR) - Video 6: End formats and Reusability

Resource type

External Resource

Authors, editors and contributors

Floriane Chiffoleau, Sarah Ondraszek, Anne Baillot, Mareike König

Topics (keywords)

Automatic Text Recognition, Handwritten Text Recognition, Heritage Material, Full text extraction

Learning outcomes

  1. Integrate open science principles into your ATR project to enhance reproducibility and transparency.

  2. Select appropriate formats for exporting and sharing transcriptions.

  3. Contribute to the scholarly community by making ATR results accessible and reusable.

Abstract

In the final video of our Automatic Text Recognition (ATR) tutorial series, we delve into the crucial aspects of integrating open science standards into your humanities research. This video provides a comprehensive guide on how to apply these standards to enhance the transparency and reproducibility of your ATR projects. We will also explore the various end formats suitable for exporting and reusing your transcriptions, ensuring that your data is accessible and functional for future scholarly work. Learn the best practices for finalizing your ATR project, making your research outputs both sharable and sustainable.
The video has English, French and German subtitles and is accompanied by a blogpost.

VickyGarnett commented

Hi @Mareike2405 - The authors for this resource are all in the system, and we are happy for you to proceed to drafting this up now in the CMS.

You can find how to do that here: https://campus.dariah.eu/docs/using-the-content-management-system

Thanks!

Vicky

  • 👍1