Music, Heritage, and Policy in the Age of AI

This deposit contains an early working draft of Music, Heritage, and Policy in the Age of AI: Building the Diversity Pillar of the European Music Observatory with Federated Knowledge Graphs. The document reports on methodological, technical, and governance work carried out within the Open Music Europe (OpenMusE) project, focusing on federated cultural data infrastructures, diversity-aware policy indicators, and privacy-preserving evaluation methods for music ecosystems. It draws on national implementations (Slovakia, Hungary) and community-curated heritage data spaces (Finno-Ugric repertoires) as applied case studies. Disclaimer This is a draft document made available in accordance with Open Policy Analysis guidelines. It has not been formally reviewed, approved, or endorsed by the European Commission or OpenMusE consortium partners. The views expressed are solely those of the authors and do not necessarily reflect the official position of the European Union or its agencies. This version is provided for transparency and discussion purposes only and should not be cited as a final or authoritative publication.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-13
DOI
https://doi.org/10.5281/zenodo.17922390
Primary Topic
Diverse Musicological Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Music, Heritage, and Policy in the Age of AI

Zenodo (CERN European Organization for Nuclear Research)
Diverse Musicological Studies
article

Music, Heritage, and Policy in the Age of AI

article en

Abstract

This deposit contains an early working draft of Music, Heritage, and Policy in the Age of AI: Building the Diversity Pillar of the European Music Observatory with Federated Knowledge Graphs. The document reports on methodological, technical, and governance work carried out within the Open Music Europe (OpenMusE) project, focusing on federated cultural data infrastructures, diversity-aware policy indicators, and privacy-preserving evaluation methods for music ecosystems. It draws on national implementations (Slovakia, Hungary) and community-curated heritage data spaces (Finno-Ugric repertoires) as applied case studies. Disclaimer This is a draft document made available in accordance with Open Policy Analysis guidelines. It has not been formally reviewed, approved, or endorsed by the European Commission or OpenMusE consortium partners. The views expressed are solely those of the authors and do not necessarily reflect the official position of the European Union or its agencies. This version is provided for transparency and discussion purposes only and should not be cited as a final or authoritative publication.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 25%
Diverse Musicological Studies
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Music, Heritage, and Policy in the Age of AI · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS