We’ve been experimenting with new ways to explore our relationship network, adding attributes to musicians the linked data way. The results of our first test launched today with a new gender view. What does gender distribution look like across interviews in our network? Who are the most talked about women and men? What can be gleaned about gender relationships in the jazz world? We hope by adding attributes, users and researchers can begin to pose new questions to our dataset. Take a look.

Read about the three different query techniques used to collect gender data from the LOD cloud, from DBpedia, MusicBrainz, and VIAF.