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Zeitschriftenartikel:

A. Hofmann, T. Miksa, P. Knees, A. Bakos, H. Sağlam, A. Ahmedaja, B. Yimwadsana, C. Chan, A. Rauber:
"Enabling FAIR use of Ethnomusicology Data - Through Distributed Repositories, Linked Data and Music Information Retrieval";
Empirical Musicology Review, 16 (2021), 1; S. 47 - 64.



Kurzfassung englisch:
Recordings of musical practices are kept in various public institutions and private depositories around the world. They constitute valuable data for ethnomusicological research and are substantial for the world musical heritage. At the moment, there are no commonly used systems and standards for organizing, describing or categorizing these data, which makes their use difficult. In this paper, we discuss the required steps to make them findable, accessible, interoperable and reusable (FAIR), and outline action items to reach these goals. We show solutions that help researchers to manage their data over the whole research lifecycle and discuss the benefits of combining technologies from Information Science, Music Information Retrieval, and Linked Data, with the aim at giving incentives for the ethnomusicology research community to actively participate in these developments in the future.

Schlagworte:
ethnomusicology, research data, FAIR principles, music information retrieval, linked data


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.18061/emr.v16i1.7632

Elektronische Version der Publikation:
https://emusicology.org/article/view/7632/6260


Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.