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Workflow-based Information Management: a nimble, abstracted framework for information management in multicenter

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  • 1Vitalant Research Institute, 360 Spear St201, San Francisco, US.

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A new Workflow-based Information Management (WIM) framework, built with R, offers a flexible data infrastructure for biological and health research. This system supports rapid study execution and public health insights.

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Area of Science:

  • Bioinformatics and Computational Biology
  • Public Health Informatics
  • Epidemiology

Background:

  • Biological and health research is increasingly data-intensive, generating vast amounts of information rapidly.
  • The COVID-19 pandemic highlighted the need for agile and reliable data infrastructure in research.
  • Existing systems may not adequately support the speed and adaptability required for modern research studies.

Purpose of the Study:

  • To introduce and describe the Workflow-based Information Management (WIM) framework.
  • To demonstrate the adaptability of the WIM framework for diverse epidemiology and research projects.
  • To provide a solution for managing the growing volume of data in biological and health research.

Main Methods:

  • Development of the WIM framework utilizing the R programming language and its ecosystem.
  • Leveraging open-source and community-developed packages for system construction.
  • Adaptation and application of the framework to various epidemiology study designs.

Main Results:

  • The WIM framework provides a robust and adaptable research information management system.
  • Demonstrated successful application of the WIM framework across different research project types.
  • The system facilitates efficient data handling for timely research insights.

Conclusions:

  • The WIM framework is a valuable, adaptable tool for data-driven biological and health research.
  • The R-based system offers a cost-effective and flexible solution for research data management.
  • This framework supports enhanced public health policy and practice through timely research insights.