Data management in literature reviews: The C5-DM Framework

Area of Science:

• Information Science
• Bibliometrics
• Research Methodology

Background:

• Effective data management is vital for knowledge synthesis and literature reviews.
• Current practices struggle with research volume, data quality, computational tool integration, and team collaboration.
• Advancements in computational techniques necessitate robust data management for literature reviews.

Purpose of the Study:

• To introduce the C5-DM Framework for addressing data management challenges in literature reviews.
• To provide conceptual principles for five key data management areas: conceptualization, collection, curation, control, and consumption.
• To enhance the efficiency, accuracy, and collaborative potential of literature review processes.

Main Methods:

• Development of the C5-DM Framework based on conceptual principles.
• Identification of five critical areas for data management in literature reviews.
• Focus on methodological guidance for researchers.

Main Results:

• The C5-DM Framework offers a structured approach to data management in literature reviews.
• Addresses shortcomings in handling research growth, data quality, tool reuse, and collaboration.
• Provides a foundation for reducing errors and saving time in repetitive tasks.

Conclusions:

• Implementing the C5-DM Framework can significantly improve literature review practices.
• Methodological guidance is essential for researchers to leverage data management effectively.
• Enhanced data management facilitates insightful syntheses and advances review tools.