PACT/R datasets include individual-level data from prospective studies of children exposed to acute, potentially traumatic events.
CTPT datasets include individual-level data from studies that assess prevention or treatment of the impact of child trauma exposure.
When data are contributed to either Archive, the Child Trauma Data Archives team works with contributing investigators to apply standard variable names and values for many common variables.
- Study information - study location, study group
- Demographic characteristics
- Trauma & event characteristics
- Medical care and physiological measures
- Trauma history variables
Child trauma studies use a variety of different measures to assess traumatic stress and other symptoms, as well as risk and protective factors and other covariates. To facilitate cross-study analyses, the Child Trauma Data Archives team develops harmonization algorithms based on expert consensus. We then apply these algorithms to data from each study, to derive harmonized common variables at the item and scale level.
Examples of harmonized variables:
- acute traumatic stress symptom items assessed within the first 24 hours post-event
- acute traumatic stress symptom items assessed within the first month post-event
- posttraumatic stress outcomes assessed at least 3 months post-event
Download the Child Trauma Data Archives Data Dictionary for variable names and descriptions.
Information on integrative data analyses, data archives and repositories in related areas of research, and the algorithms used by the PACT/R Data Archive for data harmonization