The Database of Recorded Jewish Music (DRJM) – developed and operated by the Milken Center for Music of American Jewish Experience at the University of California, Los Angeles – is a database of aggregated materials regarding Jewish music recordings held in American institutional archives. The DRJM began in 2019 with the aim of exploring how research methods and tools utilized by the digital humanities might complement the study of Jewish music—broadly conceived—in the fields of musicology, ethnomusicology, Jewish studies, American music, cultural studies, comparative literature, performance studies, library science, and sound studies. From 2019 to the present, the DRJM project has grown considerably and currently contains music data from five archival collections held within United States institutions. With data from over 130,000 recorded tracks and over 20,000 albums, the DRJM provides an unprecedented research tool for scholars and the public as the first searchable database of recorded Jewish music in the United States.

The Database of Recorded Jewish Music (DRJM) is comprised of data from the following archival collections:


Milken Archive


Florida Atlantic University – Recorded Sound Archives Judaic Collection


University of Wisconsin, Madison – Mayrent Collection


University of Pennsylvania – Molly and Robert Freedman Collection


Richard K. Spottswood Collection


 

An introduction to the Database of Recorded Jewish Music

 

Explore the New Sheet Music Metadata Projects Page

The DRJM is expanding to include metadata and linked open data of Jewish sheet music. Integrating LOD sheet music into the project will further enrich the platform, linking the sonic world of recordings with the written musical repertoire, enabling comparative analysis of performance, composition, and genre development over time. The DRJM models complex relationships among recordings, performers, institutions, and historical events, creating a sustainable, interoperable digital ecosystem that connects dispersed archival collections with broader cultural heritage datasets.