Abstract
In this discussion paper, we present an analysis of the training landscape in the UK for social, population and economic data, and we propose to the Social Science Data Training Community a Data Skills Framework for working with these kinds of data. This Framework has been developed in the context of a data landscape undergoing unprecedented change at rapid pace. We envisage it as a live and evolving piece of work, and very much welcome discussion on the content.
This initiative aims to establish a robust framework for developing essential data analysis skills for the social, economic and population sciences, focusing on large-scale survey, census, and macro-level aggregate data characteristic of the UK Data Service (UKDS) holdings. The framework acknowledges a rapidly advancing data skills landscape. It emphasises continued development of traditional data skills for contemporary research needs, while recognising growing potential for integrating survey or census data with an expanding array of other sources increasingly accessible to social scientists, as well as promising opportunities presented by AI and machine learning for enhancing analysis.
This initiative aims to establish a robust framework for developing essential data analysis skills for the social, economic and population sciences, focusing on large-scale survey, census, and macro-level aggregate data characteristic of the UK Data Service (UKDS) holdings. The framework acknowledges a rapidly advancing data skills landscape. It emphasises continued development of traditional data skills for contemporary research needs, while recognising growing potential for integrating survey or census data with an expanding array of other sources increasingly accessible to social scientists, as well as promising opportunities presented by AI and machine learning for enhancing analysis.
Original language | English |
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Place of Publication | Zenodo |
DOIs | |
Publication status | Published - 3 May 2024 |