Conceptual development of an information systems framework for improving continuity in epidemiological research

Area of Science:

• Epidemiology
• Health Informatics
• Information Systems

Background:

• Survey-based epidemiological research faces challenges with continuity due to poor information retention and access.
• Existing data management practices often hinder the ability of new projects to build upon previous findings effectively.

Purpose of the Study:

• To design and illustrate a data management framework that enhances continuity in survey-based epidemiological research.
• To ensure collected data is accessible and understandable, facilitating quicker questionnaire design and improving organizational memory.

Main Methods:

• Developed a data management framework based on established information systems principles.
• Designed the framework to store data reflecting original research concepts, including developmental and supporting documentation.
• Applied the framework to a major Australian epidemiological project as a case study.

Main Results:

• The framework allows data to be understood without direct reference to the original questionnaire.
• It enables rapid and easy design of new questionnaires.
• It provides a method for preserving crucial supporting information traditionally lost.

Conclusions:

• The proposed data management framework addresses critical continuity issues in epidemiological research.
• It improves accessibility and understanding of collected data, enhancing organizational memory.
• The framework has the potential to become a valuable support tool for future survey-based research upon software development.