An Application of Search Engine Topics Through the Use of DDI-3.2 Concepts

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CLOSER is a consortium of eight UK longitudinal studies for the purpose of increasing the use, value and impact of longitudinal research. CLOSER’s flagship product is Discovery, a DDI-backed search engine for the documentation and appraisal for the eight consortium studies. To enhance the searchability of Discovery all Variables and QuestionConstructs in Discovery require a Topic from CLOSER’s controlled vocabulary. Archivist provides bespoke infrastructure for inputting topic allocations. Through the use of Strands and Clusters the work has been reduced by 75%. Further savings are being implemented using deep learning to aid data managers.

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