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Research on Comparing the Size of the Data Workforce Across Countries

국가간 데이터직무 인력 규모 비교 연구

  • Hyemi Um (School of Knowledge Management, Chung-Ang University)
  • Received : 2024.02.20
  • Accepted : 2024.02.26
  • Published : 2024.02.29

Abstract

In modern society, as data plays a crucial role at the levels of businesses, industries, and nations, the utilization of data becomes increasingly important. Consequently, governments are prioritizing the development and implementation of plans to cultivate data workforce, viewing the data industry as a cornerstone of national strategy. To enhance domestic capabilities and nurture workforce in the data industry, it is deemed necessary to conduct an objective comparative analysis with major foreign countries. Therefore, this study aims to analyze cases of domestic and international data industries and explore methods for quantitatively comparing data industry workforce across nations. Initially, the study distinguishes between "data industry workforce" and "data job-related workforce," particularly focusing on professionals handling data-related tasks. Subsequently, it compares the workforce sizes of data job-related workforce across nations, utilizing standardized occupational classification codes based on the International Standard Classification of Occupations(ISCO). However, it should be noted that countries employing their own unique occupational classification systems often require matching job titles with similar meanings for accurate comparison. Through this study, it is anticipated that policymakers will be able to establish future directions for cultivating data workforce based on comparable status.

Keywords

References

  1. BEA, "Defining and Measuring the Digital Economy", 2018.
  2. BEA, "New and Revised Statistics of the U.S. Digital Economy, 2005-2020", 2022.
  3. China Academy of Information and Communications Technology (CAICT), "White Paper on the Development of China's Digital Economy and Employment", 2019.
  4. European Commission, "European DATA Market Study 2021-2023", 2023. 02.
  5. European Commission, "NACE Rev. 2 Statistical classification of economic activities in the European Community", 2008.
  6. International Labour Office, "International Standard Classification of Occupations", 2012.
  7. Jang, K. & Kim, W., "Development of Data Governance Components and Analysis of Their Importance, Korean Journal of Management Science, Vol. 41, No. 3, 2016, pp. 45-58.
  8. Korea Creative Content Agency, "Economic Value Measurement of the Content Industry and Development Strategies for New Statistical Indicators", 2017.
  9. Korea Data Agency, "2022 Data Industry Status Survey", 2023.
  10. Korea Data Agency, "2023 Data Industry White Paper", 2023. 10.
  11. Ministry of Internal Affairs and Communications, Japan. "White Paper on Information and Communications", 2022.
  12. Ministry of Science, ICT, "2020 Data Industry Status Survey Report", 2021.
  13. National Bureau of Statistics of China. "Statistical Classification of the Digital Economy and Core Industries", 2021.
  14. OECD, "A Roadmap Toward a Common Framework for Measuring the Digital Economy", 2020.
  15. ONS, "UK Standard Industrial Classification of Economic Activities 2007(SIC 2007)", 2009.
  16. Kim, S. W. and Rieh, H. Y., "A study on the accumulation and use of corporate records : corporate records management as a big data platform", Journal of Korean Society of Archives and Records Management, Vol. 20, No. 3, 2020, pp. 99-118.
  17. Song, K., Chang, W. and Cho, I., "A Exploratory Research on the Possibilities and Challenges of Big Data Governance", Korean Journal of Social Theory, Vol. 53, 2018, pp. 153-186.
  18. Statistics Canada, "North American Industry Classification System(NAICS) Canada 2017 Version 3.0", 2018.
  19. Statistics Korea, "Practical Application Guidebook for the 10th Revision of the Korean Standard Industrial Classification", 2022.
  20. U.S. Department of Commerce, "First Report of the Digital Economy Board of Advisors", 2016.
  21. ABS. Australian and New Zealand Standard Classification of Occupations_2022.
  22. ABS. Employed persons by Age, Occupation sub-major group of main job (ANZSCO) and Sex_1986-2023.
  23. ABS. Employed persons by Industry sub-division of main job (ANZSIC) and Sex_1984-2023.
  24. Bureau of Labor Statistics. Employed persons by detailed occupation and age (2016-2022).
  25. Eurostat, "Employed persons by detailed occupation", (ISCO-08 two digit level), 2023, https://ec.europa.eu/eurostat/databrowser/view/lfsa_egai2d__custom_8818450/default/table?lang=en.
  26. Eurostat, "Employment by sex, age and detailed economic activity (from 2008 onwards, NACE Rev. 2 two digit level)", 2023, https://ec.europa.eu/eurostat/databrowser/view/lfsq_egan22d/default/table?lang=en.
  27. Office for National Statistics, "EMP04: Employment by occupation", 2018, https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/employmentbyoccupationemp04.
  28. Office for National Statistics (n.d). Classifying the Standard Occupational Classification 2020 (SOC 2020) to the International Standard Classification of Occupations (ISCO-08), https://www.ons.gov.uk/methodology/classificationsandstandards/standardoccupationalclassificationsoc/soc2020/classifyingthestandardoccupationalclassification2020soc2020totheinternationalstandardclassificationofoccupationsisco08.
  29. ONS, 2-GB and UK level employment (thousands) by 2, 3 and 5 digit SIC 2007(2015-2018)
  30. Statistics Canada, 2023, Table 14-10-0202-01 Employment by industry, annual, https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1410020201.
  31. Statistics Canada. Labour force characteristics by occupation_2016-2022.
  32. Statistics Canada. Employed labour force who worked full year, full time and reported employment income in 2015, total - highest certificate, diploma or degree, Canada, 2016 Census, https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/dv-vd/occ-pro/occ-pro-tab-eng.cfm.
  33. Statistics Canada. Employed labour force who worked full year, full time and reported employment income in 2020, 2021 Census, https://www12.statcan.gc.ca/census-recensement/2021/dp-pd/dv-vd/occ-pro/index-en.cfm.