Digital musicology uses digital tools and large datasets to analyze and study music in new ways. It requires datasets of music-related materials like scores and recordings. Researchers use tools to search, analyze, and visualize results from these datasets. Examples include using algorithms to analyze music manuscripts or explore trends in music publication histories over time. Digital musicology allows exploring more source materials and gaining broader insights than traditional close study alone.