For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.

Open data

The University Library strives to make its collections as open as possible, including the data and metadata required to access these, and to make the products of education and research of the institutions of the University of Amsterdam (UvA) and of education and research institutions across the globe as accessible as possible. Providing open access to the collection metadata in various ways and through various channels plays a central role in this regard.

The Library holds a variety of collections from discipline specific book and journal collections, archives of organisations and individuals and internationally renowned heritage collections (in the areas of archaeology, the history of books, cartography, graphic design, Jewish culturale, zoology, literature and performing arts).

The data associated with these collections are made available in customised formats and through various publishing channels such as downloads, OAI harvesting, APIs, Linked Data Endpoints and other tools.

In addition, individual records are available via CataloguePlus in various formats (raw MARC, various citation and reference manager/RIS formats).

Linked Data

Linked Data is a specific combination of formats and publication channels. RDF is the overarching data format framework with which the objects described by the data can be linked to objects, people, concepts, etc. in other collections.


The Library's collection metadata are subject to a standard PDDL Public Domain licence. An exception is made for metadata that originated in OCLC WorldCat. This is subject to an ODC-BY licence based on the WorldCat Community Norms.

For digital collection objects and representations accessed through the collection metadata, other licensing schemes apply.

Read more about licences.

Work in progress

Making metadata accessible is very labour intensive and takes place one small step at a time.


If you have any questions or suggestions, please contact the Data Infrastructure Team.