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Data and collaboration

We work with longitudinal data, administrative records and observational data to answer public health questions.

Cohorts · Linkage · Observational data · Scientific collaborations

The data we work with

Sources vary across projects. Availability for new analyses depends on the type of data, the proposed question and feasibility within each study.

2019 Rio Grande Cohort

Perinatal interviews and longitudinal follow-ups of mothers, children and families, with information on mental health, development, parenting and living conditions.

Explore the Cohort →

Records and linkage

Linking longitudinal data with administrative records to broaden the study of health trajectories, service use and context, with data governance and protection procedures.

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Observational and audiovisual data

Recordings of family interactions produced with wearable cameras and computational methods. Because they are sensitive data, they require specific consent, protected storage and restricted access.

Explore the approach →

How to propose an analysis or collaboration

The starting point is a clear proposal. To make the team's review easier, include the elements below from the outset.

Research question

What question do you want to answer, and why does it matter?

Population and data

Which population, period and type of data would be needed?

Variables and analysis

Which exposures, outcomes and covariates are central, and which analytical approach are you considering?

Team and collaboration

Who would take part in the work, and what kind of collaboration is being proposed?

Requests related to the 2019 Rio Grande Cohort are reviewed by the team to check feasibility and possible overlap with ongoing work.

Protection is part of the method

How data are accessed and analysed depends on the characteristics and sensitivity of each data source.

In linkage projects, personal identifiers are handled in a restricted environment and, after linkage, the data used for analysis are pseudonymised. The key linking identifiers to research codes is kept separately, protected and encrypted.

Audiovisual recordings receive additional protection: participation depends on specific consent, and files are kept in protected storage with access restricted to the authorised team.

Want to propose a collaboration?

For analyses of the 2019 Rio Grande Cohort, write to the Cohort team. For other projects, methods or institutional partnerships, contact GPIS.

Contact the group
2019 Rio Grande Cohort coorteriogrande2019@gmail.com
General collaborations · GPIS chlmz@furg.br