Writing a Big Data history of music. / Rose, Stephen; Tuppen, Sandra; Drosopoulou, Loukia.

In: Early Music, Vol. 43, No. 4, 01.11.2015, p. 649-660.

Research output: Contribution to journalArticlepeer-review

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Writing a Big Data history of music. / Rose, Stephen; Tuppen, Sandra; Drosopoulou, Loukia.

In: Early Music, Vol. 43, No. 4, 01.11.2015, p. 649-660.

Research output: Contribution to journalArticlepeer-review

Harvard

Rose, S, Tuppen, S & Drosopoulou, L 2015, 'Writing a Big Data history of music', Early Music, vol. 43, no. 4, pp. 649-660. https://doi.org/10.1093/em/cav071

APA

Vancouver

Author

Rose, Stephen ; Tuppen, Sandra ; Drosopoulou, Loukia. / Writing a Big Data history of music. In: Early Music. 2015 ; Vol. 43, No. 4. pp. 649-660.

BibTeX

@article{f3b3e8d5ab99494bba742905cf66b867,
title = "Writing a Big Data history of music",
abstract = "This article introduces the project A Big Data History of Music, which aimed to unlock the bibliographical data held by research libraries in order to create new research opportunities for musicologists. The project cleaned and enhanced aspects of the British Library catalogues of printed and manuscript music, which are now available as open data. It also experimented with the analysis and visualisation of the British Library datasets and the RISM inventories of printed and manuscript music. The article shows how quantitative analysis of these datasets can expose long-term historical trends, such as the rise and fall of music printing in 16th- and 17th-century Europe. Data analysis and visualisation also facilitates research on the dissemination and canonisation of specific composers (as shown by case-studies on Palestrina and Purcell) and on changing trends in genres, scoring and ethnic colourings in music (as shown by a case-study on {\textquoteleft}Scottish{\textquoteright} music).Keywords: quantitative analysis; big data; network diagram; visualisation; RISM; music-printing; Palestrina; Purcell; Scottish; Venice",
author = "Stephen Rose and Sandra Tuppen and Loukia Drosopoulou",
note = "Note: published article will be released under CC-BY licence. When this is published, the deposited file should remain {\textquoteleft}closed{\textquoteright} and the repository should instead provide a hyperlink to the externally hosted version",
year = "2015",
month = nov,
day = "1",
doi = "10.1093/em/cav071",
language = "English",
volume = "43",
pages = "649--660",
journal = "Early Music",
issn = "0306-1078",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Writing a Big Data history of music

AU - Rose, Stephen

AU - Tuppen, Sandra

AU - Drosopoulou, Loukia

N1 - Note: published article will be released under CC-BY licence. When this is published, the deposited file should remain ‘closed’ and the repository should instead provide a hyperlink to the externally hosted version

PY - 2015/11/1

Y1 - 2015/11/1

N2 - This article introduces the project A Big Data History of Music, which aimed to unlock the bibliographical data held by research libraries in order to create new research opportunities for musicologists. The project cleaned and enhanced aspects of the British Library catalogues of printed and manuscript music, which are now available as open data. It also experimented with the analysis and visualisation of the British Library datasets and the RISM inventories of printed and manuscript music. The article shows how quantitative analysis of these datasets can expose long-term historical trends, such as the rise and fall of music printing in 16th- and 17th-century Europe. Data analysis and visualisation also facilitates research on the dissemination and canonisation of specific composers (as shown by case-studies on Palestrina and Purcell) and on changing trends in genres, scoring and ethnic colourings in music (as shown by a case-study on ‘Scottish’ music).Keywords: quantitative analysis; big data; network diagram; visualisation; RISM; music-printing; Palestrina; Purcell; Scottish; Venice

AB - This article introduces the project A Big Data History of Music, which aimed to unlock the bibliographical data held by research libraries in order to create new research opportunities for musicologists. The project cleaned and enhanced aspects of the British Library catalogues of printed and manuscript music, which are now available as open data. It also experimented with the analysis and visualisation of the British Library datasets and the RISM inventories of printed and manuscript music. The article shows how quantitative analysis of these datasets can expose long-term historical trends, such as the rise and fall of music printing in 16th- and 17th-century Europe. Data analysis and visualisation also facilitates research on the dissemination and canonisation of specific composers (as shown by case-studies on Palestrina and Purcell) and on changing trends in genres, scoring and ethnic colourings in music (as shown by a case-study on ‘Scottish’ music).Keywords: quantitative analysis; big data; network diagram; visualisation; RISM; music-printing; Palestrina; Purcell; Scottish; Venice

U2 - 10.1093/em/cav071

DO - 10.1093/em/cav071

M3 - Article

VL - 43

SP - 649

EP - 660

JO - Early Music

JF - Early Music

SN - 0306-1078

IS - 4

ER -