Book Review: Data-Driven Innovation in the Creative Industries (Melissa Terras, Vikki Jones, Nicola Osborne and Chris Speed: Routledge, 2024).
Keywords:
data-driven, innovation, creative economy, digital practices, creative industriesAbstract
In Data-Driven Innovation in the Creative Industries, Melissa Terras, Vikki Jones, Nicola Osborne, and Chris Speed arrange a series of contributions across eleven chapters and additional case study segments that offer a new perspective on the topic of data-driven innovation for arts management, cultural policy scholars and arts practitioners alike. The book supports the objectives of not only clearly defining data-driven innovation but also stimulating conversations across a series of main themes from partnerships in digital technology, skills, frameworks and policy considerations. The eleven chapters are informed by the Creative Informatics initiative which showcases research conducted over five years in Edinburgh. The book explores the scope of data-driven innovation in the Creative and Cultural Industries and contributes significantly to the field of arts management and cultural policy but also opens up further avenues of research within other fields through the positioning of arts and cultural entities as both novel and interesting sites of study on innovation.
References
Bloomberg Philanthropies (2024). Digital Accelerator. Available at: https://www.bloomberg.org/arts/strengthening-local-arts-organizations/digital-accelerator/ [Accessed 15 June 2024].
Bopp, Christina, Harmon, Ellie and Voida, Amy (2017). Disempowered by data: Nonprofits, social enterprises, and the consequences of data-driven work. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 3608–3619. https://doi.org/10.1145/3025453.3025694.
Boyd, Danah and Crawford, Kate (2012). Critical questions for big data. Information, Communication & Society, 15(5), 662–679. http://dx.doi.org/10.1080/1369118x.2012.678878.
Bruce, Fiona, Malcolm, Jane and O’Neill, Sarah (2017). Big data: Understanding how creative organisations create and sustain their networks. The Design Journal, 20(Sup1), S435–S443. http://dx.doi.org/10.1080/14606925.2017.1352961.
Fáilte Ireland (2024). Digital that Delivers. Available at: https://www.failteireland.ie/digitalthatdelivers.aspx [Accessed 15 June 2024].
Flyverbom, Mikkel and Murray, John (2018). Datastructuring—Organizing and curating digital traces into action. Big Data & Society, 5(2), http://dx.doi.org/10.1177/2053951718799114.
Kaple, Deborah A. (2002). Current data resources on nonprofit arts organizations. The American Behavioral Scientist,45(10), 1592–1612. http://dx.doi.org/10.1177/0002764202045010007.
Messina, Judith (2018). More nonprofits embrace data-driven decision making; For-profit tactics boost results--and funding. Crain’s New York Business, 34(46), 12. Available at: https://www.crainsnewyork.com/nonprofits/more-nonprofits-embrace-data-driven-decision-making [Accessed 18 November 2024].
Nuccio, Massimiliano and Bertacchini, Enrico (2022). Data-driven arts and cultural organizations: Opportunity or chimera? European Planning Studies, 30(9), 1638–1655. https://doi.org/10.4324/9781003332374.
Selwood, Sara (2002). The politics of data collection: Gathering, analysing and using data about the subsidised cultural sector in England. Cultural Trends, 12(47), 13–84. https://doi.org/10.1080/09548960209390330.
Umar, Saira and Hassan, Sarah (2019). Encouraging the collection of performance data in nonprofit organizations: The importance of organizational support for learning. Public Performance & Management Review, 42(5), 1062–1084. http://dx.doi.org/10.1080/15309576.2018.1481118.
Zembylas, Tasos (2018). Why are evaluations in the field of cultural policy (almost always) contested? Major problems, frictions, and challenges. In: Arts and Cultural Management, 129–151. Routledge. https://doi.org/10.4324/9781315164205.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Lucy Costelloe
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright of articles resides with the authors, but a condition of publication is that the work is licensed under a Creative Commons Attribution 4.0 International License.
Creative Commons Attribution 4.0 International License allows users to copy, use, or adapt the work, in any digital medium for any responsible purpose including commercial uses, subject to proper attribution of authorship. This does not automatically grant reproduction permissions for images and figures used in the work to other users and the Editorial Board accepts no responsibility for inappropriate or unlicensed reproduction.
Further information on Creative Commons and its principles of shared knowledge are available here: https://creativecommons.org/
