Baudelaire Song Project Dataset
- Submitting institution
-
The University of Birmingham
- Unit of assessment
- 26 - Modern Languages and Linguistics
- Output identifier
- 91983420
- Type
- S - Research data sets and databases
- DOI
-
-
- Location
- Birmingham
- Month
- July
- Year
- 2015
- URL
-
https://www.baudelairesong.org/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Under the aegis of an AHRC-funded project (2015-2019), this dataset compiles, reviews, and analyses over 1,700 song settings of the verse and prose poems of nineteenth-century French poet Charles Baudelaire (1821-1867). The underlying research questions driving the development of this dataset were: (1) What is a song setting?; (2) How many song settings are there?. By conducting archival research (e.g. in the major national libraries of France, UK, and US), combined with research on major streaming platforms (e.g. Deezer, Spotify, YouTube), putting out calls for songs on social media, and liaising with international song festivals on new commissions, the Baudelaire Song Project team has built a pioneering digital dataset which brings together for the first time musical settings of Baudelaire's poetry across 40 musical genres and 25 languages. The digital approach used has compiled key song data (language, themes, scoring, genre, artist/performer gender, release year/label/publisher) to produce a rich, comparative dataset, meaning we can now answer questions such as: What are the performance trends in singing Baudelaire's poems? Which poems are never or rarely set to music, and why? How do composers and songwriters handle the challenges of setting French verse metre? Are there certain types of musical genres which are more suited to Baudelaire's poetry than others? To enable researchers and members of the song community and the general public to understand and analyse the data for themselves, the project team has also built two innovative data tools: (a) a bespoke https://www.baudelairesong.org/search/Song Viewers to analyse omission/repetition, spacing, duration of a particular treatment of a poem; and (b) a https://visualisebaudelairesong.bham.ac.uk/#visualisation=people-country to triage the data by geographical spread, timelines, genres, themes. The database does not host the songs (for copyright reasons), but provides links to published sources of each song so that users can access the songs directly for themselves.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
