Musicology as Data Science and Heritage Science
Publication date
2025-11-20
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Document Type
Report
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taverne
Abstract
This collective guide, prepared under the aegis of COST Action CA21161, explores the transformative intersections of musicology with data science and heritage science in the European context. It positions musicological research as both a model for and contributor to broader cultural heritage, analyzing its tangible and intangible dimensions. The report reviews advances in research infrastructures, including the European Open Science Cloud, ECHOES, and E-RIHS, highlighting challenges and opportunities for integrating music into transnational heritage frameworks. It surveys the complexity of music data—notation, audio, metadata, and visual sources—and emphasizes standardized methods for cataloguing and preservation. The text critically assesses legal, policy, and technical barriers to digitizing and reusing musical materials, advocating for legal reforms and open science principles. New publication paradigms are proposed, leveraging digital tools to expand access and impact. The role of musicologists in public engagement, education, and fostering research communities is underscored as crucial for sustainability. Best practices and collaborative models link musicological data to broader digital humanities and preservation strategies. Ultimately, the guide calls for active participation in European policy and research networks to enhance musicology’s role in shaping and disseminating cultural heritage for future generations.
Keywords
Data Science and Machine Learning, Heritage science, Cultural heritage, Musicology, music history, SDG 4 - Quality Education, SDG 16 - Peace, Justice and Strong Institutions
Citation
Ahrendt, R & Vendrix, P (eds) 2025, Musicology as Data Science and Heritage Science. Centre d’études supérieures de la Renaissance (CESR), Tours. https://doi.org/10.5281/zenodo.17540236