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Data management and other logistical challenges for the GEMS: the data coordinating center perspective

Kousick Biswas1, Christina Carty, Rebecca Horney

  • 1Cooperative Studies Program Coordinating Center, Department of Veterans Affairs, PO Box 1010, Perry Point, MD 21902, USA. kousick.biswas@va.gov

Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America
|November 22, 2012
PubMed

Insights

The Global Enteric Multicenter Study (GEMS) managed extensive data from children under five across multiple countries. This paper details the data coordinating center

Area of Science:

  • Epidemiology
  • Global Health
  • Data Management

Background:

  • The Global Enteric Multicenter Study (GEMS) is the largest epidemiological study on diarrheal diseases in children under five.
  • The study was conducted across diverse geographical and geopolitical settings in 4 African and 3 Asian countries.

Purpose of the Study:

  • To outline the data management, administrative, and statistical support provided by the Cooperative Studies Program Coordinating Center to the GEMS study.
  • To highlight the challenges encountered in managing a large-scale, multicenter epidemiological study.

Main Methods:

  • Centralized data management operations were established to handle data from multiple international sites.
  • Data transfer protocols and data cleaning procedures were implemented to ensure data integrity.
  • Administrative and statistical support was provided throughout the study's duration.

Main Results:

  • The study successfully collected a large volume of data from the participating countries.
  • The data coordinating center provided comprehensive support, enabling the study's progress.
  • Geographical and geopolitical differences presented significant administrative challenges.

Conclusions:

  • Effective data management is crucial for large-scale international health studies.
  • Centralized coordination presents unique challenges in multicenter epidemiological research.
  • The GEMS study highlights the importance of robust data support systems in global health initiatives.

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