Using mixed-methods, a data model and a computational ontology in film audience research

Bridgette Wessels; David Forrest; Matthew Hanchard; Andrew Higson; Peter Merrington; Michael Pidd; Katherine Rogers; Roderik Smits; Nathaniel Townsend; Simeon Yates

doi:10.1080/09548963.2019.1617934

Using mixed-methods, a data model and a computational ontology in film audience research

Bridgette Wessels^*, David Forrest, Matthew Hanchard, Andrew Higson, Peter Merrington, Michael Pidd, Katherine Rogers, Roderik Smits, Nathaniel Townsend, Simeon Yates

^*Corresponding author for this work

Theatre, Film, TV and Interactive Media

Research output: Contribution to journal › Article › peer-review

Abstract

This paper discusses a methodology that seeks to address one of the challenges in working with a range of data in mixed-methods audience research, which is how to sort, order and categorise different data so that they can be systematically combined and interrogated. The methodology was developed as part of the “Beyond the Multiplex: audiences for specialised films in English regions” (BtM) project. This project required a mixed methods approach using surveys, interviews, focus groups and document analysis to explore the richness of audience experiences and trends in the context of regional film policy. This required a mixed methods approach using surveys, interviews, focus groups and document analysis. The project utilised a data model approach that uses the principles of a computational ontology in order to sort, order and categorise data for systematic interrogation. The paper discusses methods, data, coding, and the use of a data model to support data analysis. We argue that this approach enables the cross referencing of data that provides a rich, multi-layered and relational understanding of film audiences but requires time and attention to data management and coding. Although, additionally it also forms the basis of an open access data resource for future research.

Original language	English
Pages (from-to)	118-131
Number of pages	14
Journal	Cultural Trends
Volume	28
Issue number	2-3
Early online date	20 Jun 2019
DOIs	https://doi.org/10.1080/09548963.2019.1617934
Publication status	Published - 2019

Keywords

audiences
computational ontologies
data model
Film
mixed-methods

Access to Document

10.1080/09548963.2019.1617934

6_26_2019_Using mixe
© 2019 The Author(s).
Final published version, 2.07 MBLicence: CC BY

Cite this

@article{ec7d6e112a09408fbf9878e6eb70669f,

title = "Using mixed-methods, a data model and a computational ontology in film audience research",

abstract = "This paper discusses a methodology that seeks to address one of the challenges in working with a range of data in mixed-methods audience research, which is how to sort, order and categorise different data so that they can be systematically combined and interrogated. The methodology was developed as part of the “Beyond the Multiplex: audiences for specialised films in English regions” (BtM) project. This project required a mixed methods approach using surveys, interviews, focus groups and document analysis to explore the richness of audience experiences and trends in the context of regional film policy. This required a mixed methods approach using surveys, interviews, focus groups and document analysis. The project utilised a data model approach that uses the principles of a computational ontology in order to sort, order and categorise data for systematic interrogation. The paper discusses methods, data, coding, and the use of a data model to support data analysis. We argue that this approach enables the cross referencing of data that provides a rich, multi-layered and relational understanding of film audiences but requires time and attention to data management and coding. Although, additionally it also forms the basis of an open access data resource for future research.",

keywords = "audiences, computational ontologies, data model, Film, mixed-methods",

author = "Bridgette Wessels and David Forrest and Matthew Hanchard and Andrew Higson and Peter Merrington and Michael Pidd and Katherine Rogers and Roderik Smits and Nathaniel Townsend and Simeon Yates",

year = "2019",

doi = "10.1080/09548963.2019.1617934",

language = "English",

volume = "28",

pages = "118--131",

journal = "Cultural Trends",

issn = "0954-8963",

publisher = "Routledge",

number = "2-3",

}

TY - JOUR

T1 - Using mixed-methods, a data model and a computational ontology in film audience research

AU - Wessels, Bridgette

AU - Forrest, David

AU - Hanchard, Matthew

AU - Higson, Andrew

AU - Merrington, Peter

AU - Pidd, Michael

AU - Rogers, Katherine

AU - Smits, Roderik

AU - Townsend, Nathaniel

AU - Yates, Simeon

PY - 2019

Y1 - 2019

N2 - This paper discusses a methodology that seeks to address one of the challenges in working with a range of data in mixed-methods audience research, which is how to sort, order and categorise different data so that they can be systematically combined and interrogated. The methodology was developed as part of the “Beyond the Multiplex: audiences for specialised films in English regions” (BtM) project. This project required a mixed methods approach using surveys, interviews, focus groups and document analysis to explore the richness of audience experiences and trends in the context of regional film policy. This required a mixed methods approach using surveys, interviews, focus groups and document analysis. The project utilised a data model approach that uses the principles of a computational ontology in order to sort, order and categorise data for systematic interrogation. The paper discusses methods, data, coding, and the use of a data model to support data analysis. We argue that this approach enables the cross referencing of data that provides a rich, multi-layered and relational understanding of film audiences but requires time and attention to data management and coding. Although, additionally it also forms the basis of an open access data resource for future research.

AB - This paper discusses a methodology that seeks to address one of the challenges in working with a range of data in mixed-methods audience research, which is how to sort, order and categorise different data so that they can be systematically combined and interrogated. The methodology was developed as part of the “Beyond the Multiplex: audiences for specialised films in English regions” (BtM) project. This project required a mixed methods approach using surveys, interviews, focus groups and document analysis to explore the richness of audience experiences and trends in the context of regional film policy. This required a mixed methods approach using surveys, interviews, focus groups and document analysis. The project utilised a data model approach that uses the principles of a computational ontology in order to sort, order and categorise data for systematic interrogation. The paper discusses methods, data, coding, and the use of a data model to support data analysis. We argue that this approach enables the cross referencing of data that provides a rich, multi-layered and relational understanding of film audiences but requires time and attention to data management and coding. Although, additionally it also forms the basis of an open access data resource for future research.

KW - audiences

KW - computational ontologies

KW - data model

KW - Film

KW - mixed-methods

UR - http://www.scopus.com/inward/record.url?scp=85067787959&partnerID=8YFLogxK

U2 - 10.1080/09548963.2019.1617934

DO - 10.1080/09548963.2019.1617934

M3 - Article

AN - SCOPUS:85067787959

SN - 0954-8963

VL - 28

SP - 118

EP - 131

JO - Cultural Trends

JF - Cultural Trends

IS - 2-3

ER -

Using mixed-methods, a data model and a computational ontology in film audience research

Abstract

Keywords

Access to Document

Other files and links

Cite this