Guidelines for handling variables in repeated contexts

DDI standards offer an extremely valuable solution to metadata management throughout the whole data acquisition, processing and dissemination phases. However, when documenting variables in repeated context - one of the most fundamental entities of any data process - challenges may arise to find the ideal way of using DDI. There are several contexts in which repeated variables are created including longitudinal surveys and question reuse over different studies, which have been captured by use cases. An informal working group has been working on the subject since 2023 and presented some first results at the EDDI23 conference. This presentation will provide an update since then and will include an outline of guidelines driven by real life use cases, as well as pending issues, and ways to help contribute to this topic.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-04
DOI
https://doi.org/10.5281/zenodo.14699909
Primary Topic
Research Data Management Practices
Type
article
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article

Guidelines for handling variables in repeated contexts

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Guidelines for handling variables in repeated contexts

article en

Abstract

DDI standards offer an extremely valuable solution to metadata management throughout the whole data acquisition, processing and dissemination phases. However, when documenting variables in repeated context - one of the most fundamental entities of any data process - challenges may arise to find the ideal way of using DDI. There are several contexts in which repeated variables are created including longitudinal surveys and question reuse over different studies, which have been captured by use cases. An informal working group has been working on the subject since 2023 and presented some first results at the EDDI23 conference. This presentation will provide an update since then and will include an outline of guidelines driven by real life use cases, as well as pending issues, and ways to help contribute to this topic.

Zenodo (CERN European Organization for Nuclear Research)
Flanders Make (Belgium) (BE)
Openalex Percentile: Top 45%
Research Data Management Practices
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Guidelines for handling variables in repeated contexts · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS