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COVID-19 Knowledge Resource Categorization and Tracking: Conceptual Framework Study.

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  • 1Department of Software, Sejong University, 209 Neungdong-ro, Seoul, Republic of Korea.

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|May 17, 2021
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Summary
This summary is machine-generated.

This study introduces a three-level framework to organize COVID-19 information resources, improving access to data and facilitating tracking of research initiatives. The proposed structure aids in managing knowledge and developing applications like dashboards for better resource identification.

Keywords:
COVID-19dashboardsdependency trackingdigital healthinformation organizationinformation technologyinteractive dashboardknowledge graphspandemicresource managementtracing information

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Area of Science:

  • Information Science
  • Public Health Informatics
  • Data Management

Background:

  • The COVID-19 pandemic spurred extensive global research and information generation.
  • A lack of structured organization for these diverse COVID-19 information resources hinders accessibility and utilization.
  • Existing information technology efforts require a defined framework for categorization and workflow tracking.

Purpose of the Study:

  • To develop a structured categorization system for COVID-19 information resources.
  • To facilitate easy identification, tracking of information workflows, and contextual dashboard development.
  • To provide a guide for organizing and managing global COVID-19 knowledge assets.

Main Methods:

  • Action research methodology was employed, reviewing global COVID-19 initiatives from 2020.
  • Data were collected and categorized into primary, secondary, and tertiary levels.
  • Descriptive statistical analysis was used to develop a conceptual framework for resource organization.

Main Results:

  • A three-level conceptual framework was developed to categorize COVID-19 information resources.
  • The framework enables enriched metadata access and tracking of information workflows from tertiary to primary levels.
  • Mapping of initiatives demonstrated clear pathways to firsthand data, research, and trials.

Conclusions:

  • The proposed three-level structure offers a consistent method for organizing and managing COVID-19 knowledge resources.
  • This framework serves as a roadmap for classifying current and future information assets.
  • Implementation can lead to applications like interactive dashboards for contextual identification and tracking of interdependent resources.