• Title/Summary/Keyword: statistics in musicology

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Circular Statistics in Musicology

  • Lee, Jeong-Ran;Oh, Hee-Seok
    • Communications for Statistical Applications and Methods
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    • v.15 no.2
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    • pp.273-282
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    • 2008
  • An essential aspect of music is structure. Beran (2004) introduced a method of comparing piano plays via circular statistics based on the fact that there is circular structure in music. We expand the application of this method to a pair of two pop songs and discuss the possibility of applying it to detecting musical plagiarism. Circular statistics provides an objective view point comparing the musical works.

A Study on the Current Status of Research Data Management by Researchers in Each Academic Field: Focusing on Library and Information Science, Statistics, Ecology, and Korean Musicology (학문분야별 연구자들의 연구데이터 관리 현황에 관한 연구 - 문헌정보학, 통계학, 생태학 및 한국음악학을 중심으로 -)

  • Juseop, Kim;Suntae, Kim;Yeonjung, Han;Won-Jae, Youe;Paul, Jeon;Seong Jun, Yang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.4
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    • pp.229-247
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    • 2022
  • As part of open science, the government adopts a national research data sharing and utilization strategy, forms a governance system at the national level, and promotes policies for research institutes to implement. Although the policy for managing research data is carried out centering on the academic world, it is insufficient compared to developed countries, and even this is a reality in which researchers do not have enough awareness to introduce it to the field. The purpose of this study is to understand the research data management status of researchers in each academic field. Academic fields consisted of four fields including Library and Information Science, Statistics, Ecology, and Korean Musicology, and the current status of data management was identified through a survey. The current status of research data management was analyzed from the perspective of research data production, sharing and management, saving, preservation and reuse. As a result of the study, it was found that there were differences by discipline in terms of data production, data sharing and management, data preservation, and data reuse, except for data savings.