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Approaches to protocol standardization and data harmonization in the ECHO-wide cohort study.

Lisa P Jacobson1, Corette B Parker2, David Cella3

  • 1Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. ljacobs1@jhu.edu.

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Summary

The Environmental influences on Child Health Outcomes (ECHO)-wide Cohort standardizes and harmonizes data from over 57,000 children. This improves child health research reproducibility and facilitates impactful analyses.

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Area of Science:

  • Child Health Research
  • Environmental Health
  • Transdisciplinary Science

Background:

  • The Environmental influences on Child Health Outcomes (ECHO)-wide Cohort is a large, collaborative research initiative.
  • It involves over 57,000 children across 69 cohorts, pooling existing and new data.
  • The goal is to conduct high-impact science to improve child health and development.

Purpose of the Study:

  • To address key challenges in data collection standardization and harmonization within the ECHO-wide Cohort.
  • To describe the methods used to facilitate harmonized data for impactful child health outcome analyses.
  • To enhance research reproducibility through methodical and transparent data handling.

Main Methods:

  • Implementing a Common Data Model for data standardization.
  • Utilizing a team science approach to derive analytical variables.
  • Employing specific tools, systems, and approaches for data harmonization.

Main Results:

  • Standardization and harmonization processes are crucial for complex collaborative research.
  • Methodical data harmonization enhances the reliability of analyses.
  • The ECHO-wide Cohort provides a national database and biorepository for scientific use.

Conclusions:

  • Effective data standardization and harmonization are essential for maximizing the impact of large-scale child health research.
  • Transparency and methodical approaches are key to ensuring research reproducibility.
  • The ECHO-wide Cohort's data infrastructure supports transdisciplinary science for improved child health outcomes.