Markus Grassl

University of Music and Performing Arts Vienna, Institut für Musikwissenschaft und Interpretationsforschung, Faculty Member

University of Music and Performing Arts Vienna, Institut für Musikalische Stilforschung, Faculty Member

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Markus Grassl ist Professor am Institut für Musikwissenschaft und Interpretationsforschung an der Universität für Musik und darstellende Kunst Wien (mdw). Er promovierte 1990 an der Universität Wien mit einer Arbeit über Instrumentalmusik um 1600 und wurde 2010 an der mdw mit „Studien zur Rezeptions- und Aufführungsgeschichte alter Musik im 20. Jahrhundert“ habilitiert. Er lehrt seit 1996 an der mdw, vertrat 2001 eine Professur an der Staatlichen Hochschule für Musik und darstellende Kunst in Stuttgart und ist daneben als Gastlektor an der Universität Wien, der Sigmund-Freud-Universität Wien und der Donau-Universität Krems tätig. Zu seinen Forschungsschwerpunkten zählen die frühe Instrumentalmusik, französische Musik und Musikkultur des17. und 18. Jahrhunderts sowie die musikalische Aufführungsgeschichte insb. alter Musik im 20. Jahrhundert.
Address: Austria

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The Vienna Philharmonic Orchestra’s New Year’s Concerts: Building a FAIR Data Corpus for Musicology

9th International Conference on Digital Libraries for Musicology

The Vienna Philharmonic Orchestra's New Year's Concert is an annual, live-broadcast New Year's Da... more The Vienna Philharmonic Orchestra's New Year's Concert is an annual, live-broadcast New Year's Day staple for a vast international audience, with an alternating line-up of star conductors and an ever-changing repertoire that incorporates the same favourites -most notably, the Blue Danube Waltz and the Radetzky Marchyear after year. We are gathering, digitizing, and aligning the concert recordings of this series with audio features, score encodings, records of historical discourse, and other ephemera, interconnecting this multimodal music information and making it available as a digital corpus of linked open data following the principles of Findable, Accessible, Interoperable, and Reusable (FAIR) research data management. Here, we raise musicological research questions motivating our work; describe the approach to assembling our corpus and developing associated editorial and analytical tooling, building on and extending recently established semantic music information workflows; and, provide insight into ongoing digital musicology research incorporating this data. Our work is motivated both by the pursuit of our own research interests in musicology and performance science, but also by a desire to provide a useful and reusable dataset for the wider digital music research community, bringing publication practices between these fields into further dialogue. • Information systems → Multimedia information systems; Digital libraries and archives; • Applied computing → Sound and music computing.

Markus Grassl

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