Visitors in late eighteenth-century dress gather in a picture gallery hung frame to frame with paintings; a woman sits before a painting on an easel while the host greets a guest in a red coat. — Adriaan de Lelie, *The Art Gallery of Jan Gildemeester Jansz*, 1794–95. Oil on panel. Rijksmuseum, Amsterdam (SK-A-4100). Public domain.

Coding Provenance Workshop

Second Edition

This is the materials site for the second edition of the Coding Provenance Workshop: four days on computational provenance, meaning provenance research with statistics, network analysis, optical character recognition, large language models and natural language processing. Here you find the sessions, the readings and the materials for each step of the workflow.

Dates: 1–4 December 2026
Venue: Getty Research Institute, Los Angeles
Partners: Provenance Lab, Leuphana University of Lüneburg, and the Getty Provenance Index

Materials

No.	Entry	Part	Status
001	Second Online SessionAgenda, recordings and slides.	Online session	To come
002	Structuring DataOrganising provenance data into consistent structures.	Workflow, step 1 of 4	To come
003	Preprocessing DataCleaning, standardising and preparing data.	Workflow, step 2 of 4	To come
004	Analysing DataMethods and approaches for analysis.	Workflow, step 3 of 4	To come
005	Visualising DataCharts, maps and networks.	Workflow, step 4 of 4	To come
006	Bibliography & ResourcesReadings, tutorials, tools and datasets.	Reference	Entered

About the workshop

After decades working as provenance and art history researchers, we have watched the field change in many ways. Computational techniques and a more data-driven approach can reveal patterns, structures and dynamics that are hard to uncover through close reading, and lead to research questions that were previously impossible to answer or even to ask. We call it computational provenance: provenance research using statistics, network analysis, optical character recognition, large language models and natural language processing.

This workshop gives researchers and practitioners a first encounter with these theories, methods and tools, so they can bring new policies, methods and techniques into their institutions and their own research. Interdisciplinary work with computer scientists and digital humanities specialists is extremely valuable, and fair and equal collaboration starts with a good understanding of what can be done and how.

Organisers and instructors: Bárbara Romero FerrónProvenance Lab, Leuphana University of Lüneburg; Lynn RotherProvenance Lab, Leuphana University of Lüneburg; Sandra van GinhovenGetty Provenance Index, Getty Research Institute
Schedule: To be announced
Workshop home: Coding Provenance Workshop

Plates

Each workflow page carries one painting with its record and provenance.

Women in shawls and flowered skirts sorting bunches of grapes in a whitewashed room, among baskets and barrels. — No. 002Structuring DataEduardo Chicharro Agüera, *Las uveras*, 1898© Herederos de Eduardo Chicharro Agüera

Women dressed in white ironing and folding linen at long tables in a bright workroom. — No. 003Preprocessing DataIgnacio Díaz Olano, *Las planchadoras*, 1895

Two women in aprons bent double, weeding a field with hoes, a wide green plain behind them. — No. 004Analysing DataLaureano Barrau Buñol, *Escardadoras*, 1891© rights holder to be confirmed

Young girls in white dresses sewing on small chairs while a woman by the window sews and watches over them. — No. 005Visualising DataDomingo Muñoz y Cuesta, *La amiga (En Córdoba)*, 1901