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Workflow‑Based Information Management Framework for Multicenter Research Studies: Design and Development
Hasan Sulaeman1, Mars Stone1, Roberta Bruhn1
1Vitalant Research Institute, 360 Spear Street, San Francisco, CA, 94115, United States, 1 (415) 923-5771.
Online Journal of Public Health Informatics
|April 20, 2026
Summary
The Workflow-based Information Management (WIM) framework offers a flexible, open-source solution for managing complex biological and health research data. It enhances reproducibility and speeds up study execution for public health insights.
Area of Science:
- Biological and health research
- Epidemiology
- Public health
Background:
- Modern biological and health research generates vast amounts of data.
- The COVID-19 pandemic highlighted the need for adaptable data infrastructures.
- Timely insights from data are crucial for public health policy.
Purpose of the Study:
- To describe the Workflow-based Information Management (WIM) framework.
- To present WIM as a flexible system for epidemiologic workflows.
- To support data-intensive research projects.
Main Methods:
- Developed WIM as a modular, workflow-oriented framework.
- Built WIM using the open-source R programming language.
- Emphasized reproducibility, adaptability, and transparency in WIM's design.
Main Results:
- WIM managed over 3.7 million records from 17 organizations.
- The framework adapted to diverse data types and analytical needs.
- WIM facilitated efficient data processing, analysis, and reporting.
Conclusions:
- WIM offers a flexible, open-source approach to research information management.
- The framework supports reproducible analysis and scalable research operations.
- WIM provides adaptable data infrastructure for epidemiologic research and public health.
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