This project has produced a series of reports, all of which are now available for free download.
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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 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. |
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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 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). |
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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 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. |
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Title: Research methodology Authors: Daniel Allington, Anna Jordanous, Byron Dueck Date: April 2015 Type: HTML document Primary audience: Researchers This is an account of the methodology used in the research, including the question schedule used in the semi-structured interviews. |
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Title: ValuingElectronicMusic/network-analysis Authors: Daniel Allington, Anna Jordanous Date: February 2014-present Type: GitHub repository Primary audience: Researchers 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.