Aug 31, 2021

Dataset: Problematic provenances of artworks in Dutch museums 31 AUG 2021

DATASET: 
Artworks published on the Dutch site Museale Verwervingen Vanaf 1933 (Investigation into the provenance of museum collections in connection with the theft, confiscation and sale of objects under duress between 1933 and 1945.)

Description: 
This dataset contains publicly available information originally published online by the Dutch authorities which has been formatted as a CSV file for easy download and analysis with digital tools. It includes 167 artworks selected by Dutch museums because they changed hands in Europe during the Nazi era (1933-1945) and have incomplete provenances. It is intended to facilitate research into Holocaust-era provenance for scholars, art historians, families, and data scientists. 

Contents: 167 artworks selected for provenance research by museums in the Netherlands

note: The objects were selected by museums in the Netherlands many of which declined to participant. The selection is not complete.

Date Retrieval: 
31 August 2021

Date Publication:  
31 August 2021

Information in the Dataset:
RetrievalDate, Source Url, Artist, Title, Year, Technique, Inventorynumber, Category, Museum, Conclusion,Explanation, Provenance, Dimensions



DOWNLOAD CSV



Aug 12, 2021

Detector Tool Tutorial: ranking by number of Red Flag and Restitution Case Names


This post, in the educational series on the experimental digital tool for analysing provenance texts, demonstrates Ranking by Red Flag Names (photo: Albright-Knox).

Work in progress. Feedback welcome.

Jul 21, 2021

Tutorial for the Looted Art Detector: Using custom indicators

Note: 12NOV2024 The Looted Art Detector is undergoing an update on Pythonanywhere and will be back in service soon

Looted Art Detector: Part 2 Using custom indicators

example with : ALIU Red Flag restorers

The user can analyse provenances for any names or words that seem interesting.

The list below contains the last names of art restorers who were investigated by the OSS Art Looting Investigation Unit for their role in the art market for Nazi-looted art.

Jul 18, 2021

Looted Art Detector Tool: Swiss GLAMHACK2021

Note: 12NOV2024 The Looted Art Detector is undergoing an update on Pythonanywhere and will be back in service soon


Objective: Identify high priority artworks for provenance research


Description: Online Free Digital Tool



Approach: Automatic text analysis using frequency counts

note: The frequency counts target textual indicators of UNCERTAINTY, UNRELIABILITY,  or ANONYMITY, as well as the possible presence of RED FLAG names related to NAZI-looted art, forced sales and duress sales. 
The resulting calculations do not signify that an artwork is looted. They simply quantify observations concerning the text for further analysis.

How it works: