In the social, behavioural, and economic sciences, data is often described as sets of ‘variables’ – essentially the columns in a table or the answers, respondent-by-respondent, to a question in a survey. The term ‘variable’ is employed by researchers and data managers to describe a range of specific uses of this granular concept, often in ways that lack sufficient clarity to support automation. The DDI variable cascade is a more nuanced model which describes the stages of a variable from conception to its use in a data set. Drawing on other conceptual standards such as the Generic Statistical Information Model (GSIM), DDI provides an implementation mechanism for the increasingly common granular management and reuse of data.
In this webinar, the model behind the variable cascade will be presented, along with the practical implementation of the various types. There will be time for questions and answers with our expert panel. Speakers include: Arofan Gregory, consultant (CODATA); Hilde Orten, Norwegian Agency for Shared Services in Education and Research (Sikt); and Kathryn Lavender, US National Archive of Computerized Data on Aging (NACDA).
This webinar is free and open to all. For more information or to register, please visit:
Date: Thu 9 March 2023
Time: 15.00-16.30 UTC
The CODATA-Data Documentation Initiative (DDI) Training Webinars series is a collaboration to reach new audiences and provide ongoing value to existing users, by demonstrating the value of DDI tools, products and standards to those creating, managing and using research data within the social, behavioural, and economic sciences. Find out more about the CODATA-DDI Alliance collaborative webinar series at https://codata.org/initiatives/data-skills/ddi-training-webinars/
Learn more about DDI at https://ddialliance.org/