Music360: Software Engineering for Assessing the True Value of Music
Resumo
While it is well known that music influences our emotions, health and work, there is a lack of standardised information to measure and share the true impact of music and how this relates to the distribution of royalties. The Music360 project, led by a European consortium, aims to assess the value of music and connect stakeholders across the music value chain to build a common data analytics platform that goes beyond traditional metrics to explore the impact of music. The Music360 platform is based on a novel model-driven approach that will be applied to empirical case studies in the form of living labs in healthcare, media, retail, etc. to evaluate how music enhances well-being, patient recovery, brand identity and revenue potential.
Palavras-chave:
Music Value, Model-Driven Engineering, Property Rights, Empirical Evaluation
Referências
Choo et al. (2021). The sound of music on the pocket: A study of background music in retail. Psychology of Music, 49(5):1381–1400.
Commission, E., Directorate-General for Education, Youth, S., Culture, et al. (2020). Feasibility study for the establishment of a European Music Observatory – Final report. Publications Office of the European Union.
de Miguel-Molina, M., de Miguel-Molina, B., Catala-Perez, D., Carrascosa-Lopez, C., Pastor-López, Ó., and Giachetti Herrera, G. (2024). The economic value of music: a literature review.
Eidsvold-Tøien, I. (2023). Remunerating authors and performers: Are statutory fair compensation provisions sufficient? In The Exploitation of Intellectual Property Rights, pages 187–215. Edward Elgar Publishing.
Fu, V. X., Oomens, P., Klimek, M., Verhofstad, M. H., and Jeekel, J. (2020). The effect of perioperative music on medication requirement and hospital length of stay: a meta-analysis.
Gaševic, D., Djuric, D., and Devedžic, V. (2009). Model driven engineering and ontology development. Springer Science & Business Media.
Giachetti, G., Catalá, D., de Miguel, B., Carrascosa, C., de Miguel, M., Carreño, J., and Pastor, O. (2024). Smart model-driven engineering to improve the music valuation.
Giachetti, G., Catalá, D., de Miguel, B., Carrascosa, C., de Miguel, M., and Pastor, O. (2023). Music360: Modeling the value of music. In CAiSE Research Projects Exhibition, pages 105–110.
Guilhot, D., Calvo, G., Gordijn, J., Bon, A., Wieringa, R., Teekens, S., Lucassen, F., Giachetti, G., Catalá, D., de Miguel, B., et al. (2024). Music360: Assessing the true value of music. In OpenLivingLab Days Conference 2024, page 281.
Mao, N. (2022). The role of music therapy in the emotional regulation and psychological stress relief of employees in the workplace. Journal of healthcare engineering, 2022(1):4260904.
Martin-Saavedra et al. (2018). Standardizing music characteristics for the management of pain: A systematic review and meta-analysis of clinical trials. Complementary therapies in medicine, 41:81–89.
McLaren, A., Wang, Y., van de Velde, C., Green, E., Wieringa, R., and Gordijn, J. (2024). Value-based security requirements in a highly decentralized digital ecosystem: the music360 case. In 17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling Forum, pages 1–15. CEUR-WS.
Schumacher, F., Gey, R., and Klingner, S. (2014). Semantics for the music industry: the development of the music business ontology (mbo). In Proceedings of the 10th International Conference on Semantic Systems, pages 77–83.
Zhou, L., Yang, Y., and Li, S. (2022). Music-induced emotions influence intertemporal decision making. Cognition and Emotion, 36(2):211–229.
Commission, E., Directorate-General for Education, Youth, S., Culture, et al. (2020). Feasibility study for the establishment of a European Music Observatory – Final report. Publications Office of the European Union.
de Miguel-Molina, M., de Miguel-Molina, B., Catala-Perez, D., Carrascosa-Lopez, C., Pastor-López, Ó., and Giachetti Herrera, G. (2024). The economic value of music: a literature review.
Eidsvold-Tøien, I. (2023). Remunerating authors and performers: Are statutory fair compensation provisions sufficient? In The Exploitation of Intellectual Property Rights, pages 187–215. Edward Elgar Publishing.
Fu, V. X., Oomens, P., Klimek, M., Verhofstad, M. H., and Jeekel, J. (2020). The effect of perioperative music on medication requirement and hospital length of stay: a meta-analysis.
Gaševic, D., Djuric, D., and Devedžic, V. (2009). Model driven engineering and ontology development. Springer Science & Business Media.
Giachetti, G., Catalá, D., de Miguel, B., Carrascosa, C., de Miguel, M., Carreño, J., and Pastor, O. (2024). Smart model-driven engineering to improve the music valuation.
Giachetti, G., Catalá, D., de Miguel, B., Carrascosa, C., de Miguel, M., and Pastor, O. (2023). Music360: Modeling the value of music. In CAiSE Research Projects Exhibition, pages 105–110.
Guilhot, D., Calvo, G., Gordijn, J., Bon, A., Wieringa, R., Teekens, S., Lucassen, F., Giachetti, G., Catalá, D., de Miguel, B., et al. (2024). Music360: Assessing the true value of music. In OpenLivingLab Days Conference 2024, page 281.
Mao, N. (2022). The role of music therapy in the emotional regulation and psychological stress relief of employees in the workplace. Journal of healthcare engineering, 2022(1):4260904.
Martin-Saavedra et al. (2018). Standardizing music characteristics for the management of pain: A systematic review and meta-analysis of clinical trials. Complementary therapies in medicine, 41:81–89.
McLaren, A., Wang, Y., van de Velde, C., Green, E., Wieringa, R., and Gordijn, J. (2024). Value-based security requirements in a highly decentralized digital ecosystem: the music360 case. In 17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling Forum, pages 1–15. CEUR-WS.
Schumacher, F., Gey, R., and Klingner, S. (2014). Semantics for the music industry: the development of the music business ontology (mbo). In Proceedings of the 10th International Conference on Semantic Systems, pages 77–83.
Zhou, L., Yang, Y., and Li, S. (2022). Music-induced emotions influence intertemporal decision making. Cognition and Emotion, 36(2):211–229.
Publicado
12/05/2025
Como Citar
CARREÑO, Jesús; GIACHETTI, Giovanni; CATALÁ, Daniel; MIGUEL, Blanca de; CARRASCOSA, Conrado; MIGUEL, María de.
Music360: Software Engineering for Assessing the True Value of Music. In: CONGRESSO IBERO-AMERICANO EM ENGENHARIA DE SOFTWARE (CIBSE), 28. , 2025, Ciudad Real/Espanha.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 376-379.
DOI: https://doi.org/10.5753/cibse.2025.35329.
