"Protecting Musical Intellectual Property through Big Data Technologies: Challenges, Solutions, and Future Trends"

As the music industry becomes increasingly digital, protecting musical intellectual property (IP) has become more challenging than ever. Piracy, unauthorized redistribution, and copyright infringement continue to threaten the rights of creators. This study explores how Big Data technologies—such as artificial intelligence, blockchain, and large-scale data analytics—are being used to detect infringement, manage rights, and safeguard content across platforms. Through real-world case studies and a mixed-methods approach, the paper examines current challenges, innovative solutions, and emerging trends. It highlights the potential of Big Data to transform IP protection while also addressing issues like inconsistent metadata, access inequality, and privacy concerns. The study provides practical recommendations for artists, platforms, and policymakers, and offers insights into the future of copyright protection in the evolving digital landscape.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.15200211
Primary Topic
Copyright and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

"Protecting Musical Intellectual Property through Big Data Technologies: Challenges, Solutions, and Future Trends"

Zenodo (CERN European Organization for Nuclear Research)
Copyright and Intellectual Property
article

"Protecting Musical Intellectual Property through Big Data Technologies: Challenges, Solutions, and Future Trends"

article en

Abstract

As the music industry becomes increasingly digital, protecting musical intellectual property (IP) has become more challenging than ever. Piracy, unauthorized redistribution, and copyright infringement continue to threaten the rights of creators. This study explores how Big Data technologies—such as artificial intelligence, blockchain, and large-scale data analytics—are being used to detect infringement, manage rights, and safeguard content across platforms. Through real-world case studies and a mixed-methods approach, the paper examines current challenges, innovative solutions, and emerging trends. It highlights the potential of Big Data to transform IP protection while also addressing issues like inconsistent metadata, access inequality, and privacy concerns. The study provides practical recommendations for artists, platforms, and policymakers, and offers insights into the future of copyright protection in the evolving digital landscape.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 46%
Copyright and Intellectual Property
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