Enabling FAIR use of Ethnomusicology Data – Through Distributed Repositories, Linked Data and Music Information Retrieval

Author:

Hofmann AlexORCID,Miksa Tomasz,Knees Peter,Bakos Asztrik,Sağlam Hande,Ahmedaja Ardian,Yimwadsana Boonsit,Chan Clare,Rauber Andreas

Abstract

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's 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 of giving incentives for the ethnomusicology research community to actively participate in these developments in the future.

Publisher

The Ohio State University Libraries

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Music Information Retrieval Algorithm based on Deep Learning;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

2. The Vienna Philharmonic Orchestra’s New Year’s Concerts: Building a FAIR Data Corpus for Musicology;9th International Conference on Digital Libraries for Musicology;2022-07-28

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