Here is a list of open art-his­tor­i­cal data sources that can be used at Cod­ing Dürer.

Source Com­ment For­mat Licence URL
Euro­peana Collections Euro­peana brings togeth­er the con­tent of around 3.500 cul­tur­al her­itage insti­tu­tions from across Europe – at our lat­est count we had over 54.2m items avail­able on our plat­form. We have APIs avail­able on Euro­peana Labs along with advice and doc­u­men­ta­tion to sup­port users.

See detailed data descrip­tion in the blog post.

Euro­peana Data Mod­el (EDM) Var­i­ous http://​labs​.euro​peana​.eu
Muse­um für Kun­st und Gewerbe Hamburg More than 8400 col­lec­tion objects with links to freely usable dig­i­tal images of the objects (JPEGs). The meta­da­ta con­tain the tech­ni­cal infor­ma­tion about the works (mate­r­i­al, tech­nique, dimen­sions, sig­na­ture) and their pro­duc­tion (artist/producer, date, place of pro­duc­tion). Addi­tion­al­ly: Infor­ma­tion on the sub­ject group or the pic­ture con­tent and the per­sons. All per­sons and enti­ties are also linked to the com­mon stan­dard file (GND). The vocab­u­lar­ies used to tag the objects are also mapped to the GND, Wikipedia and Geon­ames, to oth­er vocab­u­lar­ies such as the Art and Archi­tec­ture The­saurus (AAT) or Icon­class. The focus of the objects is on pho­tog­ra­phy. They doc­u­ment not only the styl­is­tic, but also the tech­ni­cal devel­op­ment of the medi­um. Begin­ning with 19th-cen­tu­ry daguerreo­types on the 20th-cen­tu­ry fine print­ing process­es and the ear­ly col­or pho­tog­ra­phy of the 1930s. It has been used at Cod­ing da Vin­ci Nord in 2016.

For details see blog post.

Images: CC0 and CCBY
Meta­da­ta: CC0
Map­ping Titian It lists each paint­ing with the unique iden­ti­fi­er of a paint­ing num­ber and the fixed infor­ma­tion about that paint­ing by Tit­ian as well as the changes of own­er­ship and loca­tion (indi­cat­ed by place name and longitude/latitude).

For details see blog post.

CC0 1.0 Universal 
Map­ping Tit­ian
DAC Open Access Images from the Davi­son Art Cen­ter, Wes­leyan University The Davi­son Art Cen­ter at Wes­leyan Uni­ver­si­ty holds more than 25,000 works on paper, chiefly prints and pho­tographs. DAC Col­lec­tion Search offers text-based records for near­ly the entire col­lec­tion, along with (to date) 4,590 down­load­able DAC Open Access Images rep­re­sent­ing most of the DAC’s Euro­pean prints from the 16th through 19th cen­turies. More than 70 of these images rep­re­sent prints by Dür­er. Each DAC Open Access Image is pro­vid­ed in two ver­sions: a pub­li­ca­tion-qual­i­ty TIFF (4,096 pix­els long dimen­sion) and a pre­sen­ta­tion-ready JPEG (1,024 pix­els). Object meta­da­ta may be freely down­loaded as struc­tured LIDO XML and as a basic text caption. 

For details see blog post.

Meta­da­ta: CC0 1.0 Universal 
Images of objects in the pub­lic domain: no known copy­right restric­tions (see DAC Open Access Images policy)
DAC Col­lec­tion Search
DAC records with Dür­er images
DAC Open Access Images policy
The Met­ro­pol­i­tan Muse­um of Art The Met­ro­pol­i­tan Muse­um of Art presents over 5,000 years of art from around the world for every­one to expe­ri­ence and enjoy. The Muse­um lives in three icon­ic sites in New York City — The Met Fifth Avenue, The Met Breuer, and The Met Clois­ters. Mil­lions of peo­ple also take part in The Met expe­ri­ence online. The Met­ro­pol­i­tan Muse­um of Art pro­vides select datasets of infor­ma­tion on more than 420,000 art­works in its Col­lec­tion for unre­strict­ed com­mer­cial and non­com­mer­cial use. To the extent pos­si­ble under law, The Met­ro­pol­i­tan Muse­um of Art has waived all copy­right and relat­ed or neigh­bor­ing rights to this dataset using Cre­ative Com­mons Zero. This work is pub­lished from: The Unit­ed States Of Amer­i­ca. These select datasets are now avail­able for use in any media with­out per­mis­sion or fee; they also include iden­ti­fy­ing data for art­works under copy­right. The datasets sup­port the search, use, and inter­ac­tion with the Museum’s col­lec­tion. At this time, the datasets are avail­able in CSV for­mat, encod­ed in UTF‑8. CSV in UTF‑8
CC0 1.0 Universal 
The Muse­um of Mod­ern Art (MoMA), New York
Since MoMA opened in 1929, the Muse­um has pre­sent­ed more than 2,500 exhi­bi­tions of art­works from all moments of art his­to­ry and all cor­ners of the globe. The exhi­bi­tion index data set was com­piled by a project team from the MoMA Archives as part of their work to pre­serve, describe, and open to the pub­lic over 22,000 fold­ers of exhi­bi­tion records dat­ing from 1929 to 1989 from its reg­is­trar and cura­to­r­i­al depart­ments. The exhi­bi­tions data set lists 1,788 exhi­bi­tions, rep­re­sent­ing all of the known exhi­bi­tions held at the muse­um from 1929 through 1989, and 11,550 con­stituents, includ­ing all known cura­tors and orga­niz­ers, artists and oth­er par­tic­i­pants for each exhi­bi­tion. The staff his­to­ry dataset con­tains a list of all direc­tors of the Muse­um and depart­ment heads of indi­vid­ual cura­to­r­i­al depart­ments since its found­ing in 1929.  CSV in UTF‑8
The Muse­um of Mod­ern Art (MoMA), New York
MoMA’s evolv­ing col­lec­tion con­tains almost 200,000 works from around the world span­ning the last 150 years. The Art­works data set con­tains 130,262 records, rep­re­sent­ing all of the works that have been acces­sioned into MoMA’s col­lec­tion and cat­a­loged in our data­base. The Artists data set con­tains 15,091 records, rep­re­sent­ing all the artists who have work in MoMA’s col­lec­tion and have been cat­a­loged in our data­base. Both datasets are avail­able in CSV for­mat, encod­ed in UTF‑8, and in JSON CSV in UTF‑8 and JSON 
Alberti­na The Alberti­na safe­guards one of the most impor­tant and exten­sive graph­ic art col­lec­tions in the world. It com­pris­es around 50,000 draw­ings and water­colours, as well as some 900,000 graph­ic art works, rang­ing from the Late Goth­ic era to the present. 

See detailed data descrip­tion in the blog post.

Euro­peana Data Mod­el (EDM)
Via Euro­peana
Get­ty Vocabularies The Get­ty Vocab­u­lar­ies, main­tained by the J. Paul Get­ty Trust, are struc­tured, mul­ti­lin­gual vocab­u­lar­ies that con­tain over 3 mil­lion terms for con­cepts and names with oth­er meta­da­ta relat­ed to art, archi­tec­ture, and dec­o­ra­tive arts.

The Art & Archi­tec­ture The­saurus (AAT) ®
Gener­ic terms for describ­ing art and archi­tec­ture with scope notes and oth­er data: esti­mat­ed 41,855 records; 355,000 terms

The Union List of Artist Names (ULAN) ®
Names for peo­ple and cor­po­rate bod­ies with bio­graph­i­cal infor­ma­tion and oth­er data: esti­mat­ed 234,825 records; 645,000 names

The The­saurus of Geo­graph­ic Names (TGN) ®
Names for cur­rent and his­tor­i­cal admin­is­tra­tive places and phys­i­cal fea­tures with coor­di­nates and oth­er data: esti­mat­ed 1,475,816 records; 2,150,000 names

JSON, RDF, N3/Turtle, N‑triples, Rela­tion­al Tables (UTF‑8), XML (UTF‑8) Open Data Com­mons Attri­bu­tion License (ODC-By) 1.0

Down­load center
SPARQL end­point

Get­ty Prove­nance Index® The Get­ty Research Insti­tute main­tains the Get­ty Prove­nance Index®, a col­lec­tion of dis­tinct data­bas­es that con­tain over 1.5 mil­lion records tak­en from his­tor­i­cal source mate­ri­als, such as archival inven­to­ries, auc­tion cat­a­logs, and deal­er stock books. The quan­ti­ty and scope of research mate­r­i­al that is avail­able in each data­base varies by region, peri­od, and type of document.
Select datasets from the Get­ty Prove­nance Index will be pub­lished on GitHub for open and con­ve­nient access to researchers. The dataset for the Knoedler Stock Books (released Novem­ber 2016) is a .csv file which pro­vides more gran­u­lar access to the data than the for­mat that can cur­rent­ly be down­loaded from the Prove­nance Index data­base. The Knoedler dataset con­tains over 40,300 records tran­scribed from the 11 paint­ing stock books and enhanced with infor­ma­tion from the 21 paint­ings and water­col­ors sales books of M. Knoedler & Co. gallery in New York (1872 – 1970). These datasets will even­tu­al­ly be super­seded by the forth­com­ing Linked Open Data release and so are not updat­ed or maintained.
Knoedler dataset on GitHub has CC‑0 license



Get­ty Open Con­tent Program Over 100,000 dig­i­tal images are avail­able from the J. Paul Get­ty Muse­um and the Get­ty Research Insti­tute col­lec­tions to which the Get­ty holds the rights or that are in the pub­lic domain, free of charge and with­out per­mis­sion required. Images include paint­ings, draw­ings, man­u­scripts, pho­tographs, antiq­ui­ties, sculp­ture, dec­o­ra­tive arts, artists’ sketch­books, water­col­ors, rare prints from the 16th through the 18th cen­tu­ry, and 19th-cen­tu­ry archi­tec­tur­al draw­ings of cul­tur­al landmarks.  JPEG Images of objects in the pub­lic domain or Get­ty-owned rights with no known copy­right restric­tions (see the Get­ty Open Con­tent pro­gram pol­i­cy) http://​search​.get​ty​.edu/

RKDartists + web service

This is a deriv­a­tive set of bio­graph­i­cal data from the exten­sive dataset RKDartists&. Con­tain­ing bio­graph­i­cal data of some 250,000 Dutch and for­eign artists from the Mid­dle Ages to the present.




RKDim­ages + web service

Through this web ser­vice descrip­tive data is offered for around 240,000 works of art made in the Dutch cul­tur­al domain from the Mid­dle Ages to the present day.




icon­class brows­er + API

Icon­class is a clas­si­fi­ca­tion sys­tem designed for art and iconog­ra­phy. It is the most wide­ly accept­ed sci­en­tif­ic tool for the descrip­tion and retrieval of sub­jects rep­re­sent­ed in images (works of art, book illus­tra­tions, repro­duc­tions, pho­tographs, etc.) and is used by muse­ums and art insti­tu­tions around the world.




National­mu­se­um, Sweden  This dataset con­tains data and images of around 3000 paint­ings held in the Nationalmuseum’s col­lec­tions. The data con­tains infor­ma­tion on the artist, title, media- and dimen­sion infor­ma­tion and often infor­ma­tion on the depict­ed per­sons of the art­work. Each dataset includes a link to an iiif-resource, so that the image mate­r­i­al can be used as flex­i­ble as possible.  LIDO XML, TIFF (on Wiki­me­dia Com­mons), IIIF  CC BY SA or marked Pub­lic Domain  GitHub or Wiki­da­ta 
prometheus — das verteilte dig­i­tale Bil­darchiv für Forschung und Lehre  prometheus is a dis­trib­uted dig­i­tal image archive that cur­rent­ly con­nects 90 data­bas­es from uni­ver­si­ties, oth­er research insti­tu­tions and muse­ums. Over 1,500,000 high-qual­i­ty dig­i­tized images from the fields of arts, cul­ture and his­to­ry are avail­able for researchers and stu­dents. Due to copy­rights authen­ti­ca­tion is required except for 19 Open-Access-Data­bas­es which are freely acces­si­ble. It’s also pos­si­ble to retrieve meta­da­ta via the prometheus-API: Using the API you will be able to per­form search­es, retrieve meta­da­ta of images or query collections.  XML, JSON (prometheus Data Model)  Var­i­ous (see respec­tive database)  API
Machine read­able descrip­tion (WADL) 
Yale Cen­ter for British Art The YCBA has been shar­ing high-res­o­lu­tion images of its col­lec­tion objects in the pub­lic domain since Yale Uni­ver­si­ty adopt­ed its Open Access Pol­i­cy in 2011 , and today about 71,000 such images are avail­able for down­load free of charge, includ­ing for com­mer­cial usage.

For more details see the blog post.

LIDO XML, CIDOC CRM RDFIIIF CC0 for images and data GitHub

Addi­tion­al data sources:

If you have oth­er sources of art-his­tor­i­cal open data that you think would fit into our objec­tive, please send us an email with a link and description.

We invite every­one with open art-his­tor­i­cal data (GLAM insti­tu­tions, aca­d­e­mics and oth­ers) to join us and take the chance to present their data sources to the inter­dis­ci­pli­nary group of 40 peo­ple at Cod­ing Dür­er and see what they might accom­plish with­in those five days in March and pos­si­bly beyond. Please send us the name of your insti­tu­tion or col­lec­tion, a short com­ment, the data for­mat, its licence and URL accord­ing to the exam­ples below and we are hap­py to add them to the list.

If you would like to present your data in con­tent and struc­ture more com­pre­hen­sive­ly and more inter­ac­tive­ly, it is also pos­si­ble that

  • you per­son­al­ly present your data on March 13 in Munich,
  • we set up a Skype ses­sion where you are able to present your data on March 13,
  • you send us a short video (2 min­utes max.) that will be shown on March 13, or
  • you write a blog entry on our web­site about your data.