Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub
The staging database serves as an innovative tool in managing longitudinal mental health data, going beyond simple data hosting to act as a comprehensive study descriptor. It provides detailed insights into each study stage and establishes a data science foundation for standardizing and integrating the data into OMOP CDM.
Authors
- Joseph Kuria
- David Amadi
- Pauline Andeso
- Jay Greenfield (ORCID: https://orcid.org/0000-0003-2773-5317)
- Tathagata Bhattacharjee (ORCID: https://orcid.org/0000-0001-9437-0894)
- Reinpeter Momanyi (ORCID: https://orcid.org/0009-0002-9059-393X)
- Jim Todd (ORCID: https://orcid.org/0000-0001-5918-4914)
- Dan Kajungu (ORCID: https://orcid.org/0000-0002-3363-7062)
- Michael Ochola (ORCID: https://orcid.org/0000-0001-9081-3360)
- Agnes Kiragga
- Bylhah Mugotitsa
- Dorothy Mailosi
- Evans Omondi
Institutions
- Strathmore University (KE)
- London School of Hygiene & Tropical Medicine (GB)
- Infectious Diseases Institute (UG)
- International Science Council (FR)
- African Population and Health Research Center (KE)
- Committee on Data of the International Science Council
- Makerere University (UG)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2024-10-11
- DOI
- https://doi.org/10.3389/fdata.2024.1435510
- Citations
- 3
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Wellcome Trust