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The study of music has typically focused on the work&/people/hgb3/44; the composer and the performer. More recently&/people/hgb3/44; interest has focused on the listener&/people/hgb3/44; but generally from the perspective of psychology or reception studies&/people/hgb3/44; which draw their evidence from experimentation&/people/hgb3/44; interview or musically informed critical opinion. The approach of this project is different: it places the listener at the heart of musical experience in Britain in the period c.1700-2018&/people/hgb3/44; emphasising the written testimony of the impact of music on 'ordinary' people. Typically the material is drawn from diaries&/people/hgb3/44; letters and memoirs. The evidence is all the more potent for being personal and often musically 'uninformed' or naïve. The team believes that such evidence facilitates a new way of studying how and what music communicates&/people/hgb3/44; and that it can&/people/hgb3/44; when gathered as a mass&/people/hgb3/44; inform novel approaches to musicology. The project will address three research questions: 1. What can personal accounts of listening to music in Britain tell us about how listeners recognise and identify with a common culture through music? 2. What can these accounts add to our understanding of the place of music in broader aspects of personal&/people/hgb3/44; community and national life in Britain? 3. What more can listeners' accounts tell us about the place in British musical life of particular repertoires and their associated performing and listening practices? The project aims to combine empirical research methods effectively with digital research methods. It does not aim merely at gathering 'big data'&/people/hgb3/44; but sets out to use that data to support a traditional strength of humanities research - close reading of texts to underpin the writing of historical narratives. It builds on the AHRC-funded Listening Experience Database (LED) project (2013-15&/people/hgb3/44; http://www.open.ac.uk/Arts/LED)&/people/hgb3/44; which established a methodology for collecting accounts of listening experiences in any period or culture&/people/hgb3/44; and a tool&/people/hgb3/44; in the form of a Linked Open Data database&/people/hgb3/44; for its storage and analysis. The objectives are: 1. To capture a mass of primary source evidence&/people/hgb3/44; and to make it available for analysis through an open-access database. 2. To use this data to inform new understandings of the place of music in British cultural life. 3. To develop a clear methodological framework for using digital content in humanities research&/people/hgb3/44; and an effective methodology for the mining and analysis of social media as primary source material for responses to music. 4. To develop the ways in which the database supports entry and analysis of data&/people/hgb3/44; and to use the database as a case study for research into the application of Linked Open Data. 5. To disseminate the findings to academic and non-academic audiences through a range of means including publications&/people/hgb3/44; social media&/people/hgb3/44; knowledge exchange events&/people/hgb3/44; seminars and a conference. New insights into the experience of listeners have the potential to inform not only historical musicology but also other research within and beyond the academic community - for example&/people/hgb3/44; in performance practice&/people/hgb3/44; social and cultural history&/people/hgb3/44; religious studies&/people/hgb3/44; Celtic studies&/people/hgb3/44; area studies&/people/hgb3/44; psychology and health studies&/people/hgb3/44; sociology and media studies. The project will benefit museums&/people/hgb3/44; libraries and archives - in particular&/people/hgb3/44; specific institutions with which the team will be working – by informing understanding of and increasing exposure to their collections. It will develop and document a clear methodology for using digital content in humanities research&/people/hgb3/44; including large-scale data sets such as social media archives that are currently difficult to use. It will establish data modelling practices transferable to other projects and create data assets of value to both academics and other users such as the media (for example&/people/hgb3/44; rich data about a wide range of music).