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Enhancing the quality of metadata: harmonising with DDI-L

Abstract : Harmonised datasets improve data discovery and allow comparative statistical analysis. If metadata is not entirely harmonised across waves and studies, researchers may experience difficulties in finding the data they need. Also, data managers may encounter difficulties in managing metadata. Taking into consideration the DDI Lifecycle specifications, our data harmonisation process was engaged in 2015. We are using an ad-hoc database with the existing variable documentation and after calculating the co-occurrence measure between two sequences we validate or not the similarities. A further step, in progress, is the processing of the link between data and documentation. This work is done to rebuild the data and metadata lifecycle. The question addressed in this paper is how DDI Lifecycle can be used to support data harmonisation and comparison projects. On the one hand, we will discuss benefits for the researchers that access our repository and on the other hand, benefits for the data managers in the documentation workflow.
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Submitted on : Friday, June 19, 2020 - 10:49:27 AM
Last modification on : Tuesday, May 10, 2022 - 3:40:02 PM




Alina Danciu, Alexandre Mairot. Enhancing the quality of metadata: harmonising with DDI-L. 8th Annual European DDI User Conference (EDDI16), Dec 2016, Cologne, Germany. ⟨hal-02874798⟩



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