Pandore: automating text-processing workflows for humanities researchers

Pandore is a toolkit designed for researchers, teachers, and students in the humanities and social sciences, in particular those without advanced technical coding skills. It enables users to efficiently manage their data through intuitive graphical interfaces, allowing them to collect, prepare, convert, and analyze their data, extract relevant insights, and create interpretive visualizations. Building on extensive feedback from the previous beta version, several improvements have been implemented. This communication outlines these updates, including the resolution of identified bugs and enhancements to the graphical interface to improve user experience. We are currently exploring the feasibility of connecting the platform to the Gallica database at the French national library, with a prototype under development to facilitate enriched resource access. Interoperable and modular Python scripts have also been integrated to extend the platform's functionalities. Tutorials have been finalized to guide users in mastering the tools, and the application is being deployed on a GPU-equipped server to optimize performance for computationally intensive tasks. These advancements position Pandore as a versatile and effective tool for researchers across a diverse range of humanities and social science disciplines.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-11
DOI
https://doi.org/10.5281/zenodo.16258817
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
0.00
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article

Pandore: automating text-processing workflows for humanities researchers

Zenodo (CERN European Organization for Nuclear Research)
Digital Humanities and Scholarship
article

Pandore: automating text-processing workflows for humanities researchers

article en

Abstract

Pandore is a toolkit designed for researchers, teachers, and students in the humanities and social sciences, in particular those without advanced technical coding skills. It enables users to efficiently manage their data through intuitive graphical interfaces, allowing them to collect, prepare, convert, and analyze their data, extract relevant insights, and create interpretive visualizations. Building on extensive feedback from the previous beta version, several improvements have been implemented. This communication outlines these updates, including the resolution of identified bugs and enhancements to the graphical interface to improve user experience. We are currently exploring the feasibility of connecting the platform to the Gallica database at the French national library, with a prototype under development to facilitate enriched resource access. Interoperable and modular Python scripts have also been integrated to extend the platform's functionalities. Tutorials have been finalized to guide users in mastering the tools, and the application is being deployed on a GPU-equipped server to optimize performance for computationally intensive tasks. These advancements position Pandore as a versatile and effective tool for researchers across a diverse range of humanities and social science disciplines.

Zenodo (CERN European Organization for Nuclear Research)
Sorbonne Université (FR), Sorbonne University Abu Dhabi (AE), Laboratoire Médiations (FR), Université Paris 1 Panthéon-Sorbonne (FR)
Quality Education
Openalex Percentile: Top 57%
Digital Humanities and Scholarship
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