COVID-19 AND DATA: CRISIS MITIGATION TOOLS
DOI:
https://doi.org/10.55877/cc.vol17.68Keywords:
cultural and creative sector (CCS), open data, audience, COVID-19.Abstract
The cultural and creative sector (CCS) is one of the hardest-hit sectors due to COVID-19. The rapid decline in audience and revenues makes it impossible to create and offer financially demanding cultural products and services. This will be a long- term effect – it will affect the supply and demand of cultural services for at least two to three years to come. A realistic forecast suggests that this period will be characterized by a narrowed audience market, a decline in the purchasing power of the population and reduced leverage of funding. Decisions about performances, productions and investments in new content can no longer rely on traditional audience behavioural patterns, historical demand data, or an organization’s institutional memory. Cultural institutions need to make decisions about the future without being able to predict it even two weeks ahead. The article examines the open data arrays available in Latvia on and the potential of their use in the cultural and creative sector to alleviate the crisis.Downloads
References
Appadurai, A. (2012). The spirit of calculation. The Cambridge Journal of Anthropology,
No. 30 (1), pp. 3–17.
Ashton, D., Gowland-Pryde, R. (2019). Arts audience segmentation: data, profiles, segments and biographies. Cultural Trends, No. 28 (2–3), pp.146–161.
Atique, A. (2018). The dynamics and potentials of big data for audience research. Media, Culture & Society, No. 40 (1), pp. 59–74.
Bail, C. (2014). The cultural environment: measuring culture with big data. Theory and Society, No. 32., pp. 465–482.
Beer, D. (2018). Envisioning the Power of Data Analytics. Information, Communication & Society, No. 21 (3), pp. 465–479.
Boyd, D., Crawford, K. (2012). Critical questions for big data: provocations for a cultural, technological and scholarly phenomenon. Information, Communication & Society, No. 15 (5), pp. 662–679.
Brook, O. (2017). Spatial Equity and Cultural Participation: How Access Influences
Attendance at Museums and Galleries in London. Cultural Trends, No. 25 (1), pp. 21–34.
Couldry, N. (2014). A necessary disenchantment: myth, agency and injustice in a digital world. The Sociological Review, No. 62 (4), pp. 880–897.
Delrieu, V., & Gibson, L. (2017). Libraries and the geography of use: how does geography and asset “attractiveness” influence the local dimensions of cultural participation? Cultural Trends, No. 26 (1), pp. 18–33.
Laikmetīgās kultūras nevalstisko organizāciju asociācija, domnīca “Providus”, biedrība “Ascendum” (2020). Kultūras pieejamība Latvijā: faktori un iespējamie risinājumi.
Available:https://www.km.gov.lv/lv/kultura/kultura-timekli/informativi-materiali/petijumi#gsc.tab=0 (viewed 28.11.2020.)
Latvijas Kultūras akadēmija, Pētījumu centrs SKDS, Biedrība Culturelab (2018). Kultūras patēriņa un līdzdalības ietekmes pētījums. Available: https://www.km.gov.lv/lv/kultura/kultura-timekli/informativi-materiali/petijumi#gsc.tab=0 (viewed 25.11.2020.)
Lilley, A., Moore, P. (2013). Counting what counts. What big data can do for the cultural sector. Available: https://www.nesta.org.uk/report/counting-what-counts-whatbig-data-can-do-for-the-cultural-sector/ (viewed 02.12.2020.)
Livingston, S. (2019). Audiences in an age of datafication: critical questions for media research. Television & New Media, No. 20 (2), pp.170–183.
Martinho, T. D. (2018). Researching Culture through Big Data: Computational Engineering and the Human and Social Sciences. Social Sciences, No. 7 (12), p. 264.
OECD (2019). Open, Useful and Re-usable data (OURdata) Index 2019. Available:http://www.oecd.org/gov/digital-government/ourdata-index-policy-paper2020.pdf (viewed 10.12.2020.)
OECD (2020). Culture shock; Covid-19 and the cultural and creative sectors. Available:https://www.oecd.org/coronavirus/policy-responses/culture-shock-covid-19-and-the-cultural-and-creative-sectors-08da9e0e/ (viewed 10.12.2020.)
Swanson, S. R., Davis, J. C. (2012). Delight and outrage in the performing arts: A critical incidence analysis. Journal of Marketing Theory and Practice, No. 20 (3), pp. 263–78.
Ubaldi, B. (2013). “Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives”, OECD Working Papers on Public Governance, No. 22 (Paris: OECD).
Wessels, B., Finn, R. L., Linde, P., Mazzetti, P., Nativi, S., Riley, S., Smallwood, R., Taylor, J. M., Tsoukala, V., Wadhwa, K. & Wyatt, S. (2014). Issues in the development of open access to research data, Prometheus: Critical Studies in Innovation, No. 32 (1), pp. 49–66.
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