Reports

This project has produced a series of reports, all of which are now available for free download.

Allington_Jordanous_Dueck_2015_cover Title: Music, value, and networks in the digital world
Authors: Daniel Allington, Anna Jordanous, Byron Dueck
Date: December 2015
Type: PDF document
Primary audience: Musicians, music industry, teachers, general public

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This is the project’s main output, a ‘public’ report presenting key findings without technical jargon. It is founded on our peer-reviewed research (below) and was written in consultation with a panel of experts.

Allington_Dueck_Jordanous_2015_frontpage Title: Networks of value in electronic music: SoundCloud, London, and the importance of place
Authors: Daniel Allington, Byron Dueck, Anna Jordanous
Date: August 2015
Type: PDF document
Primary audience: Researchers

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This is the project’s first peer reviewed academic journal article. It was published in Cultural Trends as part of a special issue on empirical research into cultural value guest-edited by Dave O’Brien. It is primarily written for an academic audience, and contains more detailed explanation of the findings presented in the ‘public’ report (above), as well as being a more definitive account of the empirical research than the initial report (below).

Allington_Jordanous_Dueck_2014_cover Title: Cultural value: online networks and the production of value in electronic music
Authors: Daniel Allington, Anna Jordanous, Byron Dueck
Date: September 2014
Type: PDF document
Primary audience: Funder, researchers

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This was the project’s initial report to the AHRC’s Cultural Value Project. The executive summary is available here. Analysis and argument have since been refined, and the journal article and ‘public’ report above should be considered the definitive outputs.

method_image Title: Research methodology
Authors: Daniel Allington, Anna Jordanous, Byron Dueck
Date: April 2015
Type: HTML document
Primary audience: Researchers

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This is an account of the methodology used in the research, including the question schedule used in the semi-structured interviews.

code_image Title: ValuingElectronicMusic/network-analysis
Authors: Daniel Allington, Anna Jordanous
Date: February 2014-present
Type: GitHub repository
Primary audience: Researchers

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This repository contains the Python 2.7 code used in order to collect and analyse data from the SoundCloud website.

Further accounts of our research can be found in the many blog posts we’ve made describing our findings and methodology, and in the video recordings of some of our talks.

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