Organizing and Curating Image Corpora

with Tropy and Arvest

Published

March 10, 2026

Welcome

This website contains all materials for the Organizing and Curating Image Corpora with Tropy and Arvest workshop, organized for doctoral students of the UPPA SSH Doctoral School and the CHORAL programme (Unita).

NoteWorkshop Information
Audience Doctoral students · ED 481 SSH · CHORAL programme
Format Online (visio)
Language English
Instructor Julien Rabaud
Contact julien.rabaud@univ-pau.fr

What You Will Learn

This workshop introduces the full pipeline for organizing, describing, and exposing image corpora for humanities research — from semantic metadata standards to practical tools.

Part 1 · Conceptual Foundations

  • The Semantic Web and its relevance for research data
  • RDF Triples and URIs as the backbone of linked data
  • Metadata schemas: Dublin Core and CIDOC-CRM
  • Controlled vocabularies: GeoNames, Pactols, Openthéso

Part 2 · IIIF — The International Image Interoperability Framework

  • What IIIF is and why it matters for image corpora
  • Key APIs: Image API and Presentation API (Manifests)
  • IIIF images from Europeana, Omeka S, and Nakala

Part 3 · Tools

  • Tropy — Organize, describe and annotate research photos
  • Arvest — Import, annotate and expose IIIF image collections

About the Tools

Tropy

Tropy is a free, open-source desktop application developed by the Roy Rosenzweig Center for History and New Media (George Mason University) and the Luxembourg Centre for Contemporary and Digital History (C²DH). It allows researchers to import, organize, describe, and annotate the photos they take during archival research.

🔗 tropy.org · Documentation · GitHub

Arvest

Arvest is a web platform for working with IIIF image collections. It allows importing images (locally or via IIIF manifests), collaborative annotation, and exposing data through APIs for further analysis — including machine learning applications.

🔗 arvest.app


NoteCC BY 4.0 License

All workshop materials are released under a Creative Commons Attribution 4.0 license. You are free to use, modify, and share them with attribution.