Further reading

Websites

The Music Encoding Initiative: https://music-encoding.org

Humanities Commons collection of pedagogical MEI resources, maintained by the MEI Pedagogy Interest Group: https://hcommons.org/deposits/?tag=mei-pedagogy-praxis

Publications

On MEI

Crawford, T. & Lewis, R. (2016). Review: Music Encoding Initiative. Journal of the American Musicological Society 69(1), pp. 273–285. doi:10.1525/jams.2016.69.1.273

Hankinson, A., Roland, P., & Fujinaga, I. (2011). The Music Encoding Initiative as a Document-Encoding Framework. In Proceedings of the 12th International Society for Music Information Retrieval Conference. https://archives.ismir.net/ismir2011/paper/000011.pdf

On mei-friend

Goebl, W., & Weigl, D. M. (2023). mei-friend v1.0: Music Encoding in the Browser. Encoding Cultures. Joint MEC and TEI Conference 2023, Paderborn, Germany. https://teimec2023.uni-paderborn.de/contributions/159.html

Goebl, W. & Weigl, D. M. (2023). The mei-friend Web Application: Editing MEI in the Browser. Music Encoding Conference Proceedings 2022 [Late-breaking Reports]. doi:10.17613/dnj6-yy29

Goebl, W. & Weigl, D. M. (2022). Alleviating the Last Mile of Encoding: The mei-friend Package for the Atom Text Editor.
In S. Münnich & D. Rizo (Eds.), Music Encoding Conference Proceedings 2021 (pp. 31–39). University of Alicante. doi:10.17613/fc1c-mx52

On the Verovio engraving tool

Pugin, L. (2018). Interaction Perspectives for Music Notation Applications. In Proceedings of the 1st International Workshop on Semantic Applications for Audio and Music (SAAM ‘18). Association for Computing Machinery, New York, NY, USA, 54–58. doi:10.1145/3243907.3243911

Pugin, L. X., Zitellini, R., & Roland, P. (2014). Verovio: A library for engraving MEI music notation into SVG. In Proceedings of the 15th International Society for Music Information Retrieval Conference. https://archives.ismir.net/ismir2014/paper/000221.pdf

On music annotation using MEI and semantic Web frameworks

Lewis, D., Shibata, E., Saccomano, M., Rosendahl, L., Kepper, J., Hankinson, A., Siegert, C. & Page, K. (2022). A model for annotating musical versions and arrangements across multiple documents and media. In Proceedings of the 9th International Conference on Digital Libraries for Musicology (DLfM ‘22). Association for Computing Machinery, New York, NY, USA, 10–18. doi:10.1145/3543882.3543891

Sanfilippo, E.M., Freedman, R. (2022). Ontology for Analytic Claims in Music. In: , et al. New Trends in Database and Information Systems. ADBIS 2022. Communications in Computer and Information Science, vol 1652. Springer, Cham. doi:10.1007/978-3-031-15743-1_51

Weigl, D. M., Goebl, W., Hofmann, A., Crawford, T., Zubani, F., Liem, C. C. S., & Porter, A. 2020. Read/Write Digital Libraries for Musicology. In 7th International Conference on Digital Libraries for Musicology (DLfM 2020). Association for Computing Machinery, New York, NY, USA, 48–52. doi:10.1145/3424911.3425519