Conveners
METACURATE-ML (II)
- Franck Cotton (Making Sense)
Description
The ESRC Future Data Services Program has funded CLOSER, University of Surrey, UK Data Service and ScotCen to progress ways in which information from longitudinal social science surveys can be improved in both quality and throughput to enhance the challenges of understanding and utilising these data.
This session will cover the semantic challenges that remain after structural alignment of questions in DDI-Lifecycle and the opportunities that can be leveraged using a common vocabulary such as ELSST.
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Justina Li (University of Surrey)02/12/2025, 16:15
Longitudinal and comparative research relies heavily on repeated measures and harmonisation of data, DDI-Lifecycle has strong support for this through the variable cascade, however, scaling such activity has proven difficult to put into practice.
Social science (and other!) researchers approach the development of questions from a range of perspectives, even where the response options are...
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Suparna De (University of Surrey)02/12/2025, 16:40
Cross-lingual alignment of nuanced sociological concepts can form the basis of comparing cross-national studies in different languages and harmonising longitudinal studies, by leveraging knowledge from social science taxonomies such as ELSST. Aligning sociological concepts is challenging due to cultural context-dependency, linguistic variation, and data scarcity. Traditional approaches for...
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Jon Johnson (CLOSER, UCL)02/12/2025, 17:05
A vocabulary, if it is to be useful, faces three main challenges, coverage, achievability and utility.
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With over 3,400 topics, its coverage is enormous, but assigning topics with such large numbers is not straight-forward at scale, and as such its utility as is, for discovery is thus diminished. It does however have a significant role to play as an anchor to which vocabularies could align...