scoping-review

To automate a scoping review, this Skill uses the Arksey-O'Malley and JBI frameworks to define scope, conduct literature searches, chart data, and generate evidence gap maps. It processes research data using Python libraries like pandas and matplotlib.

The best way to identify research gaps is by mapping the evidence landscape. This Skill extracts and charts key information from studies to highlight knowledge inconsistencies and visually map gaps in the evidence base.

You can chart data from literature searches by applying the JBI framework within this Skill. It automates the extraction of key information from studies and structures the charting process to summarize large bodies of research.

Yes, you need Python libraries like pandas, openpyxl, and matplotlib to run this scoping review Skill. These dependencies are required to process the literature data, chart the extracted information, and generate the visual evidence gap maps.

Yes, you can use the Arksey-O'Malley framework for scoping reviews in Python. This Skill provides a structured automated framework based on Arksey-O'Malley to help researchers explore and summarize large bodies of research.

The limitations of automating scoping reviews include the need for specific Python dependencies like pypdf2 and pyyaml. The process is designed to map research breadth and identify gaps, but requires structured input to accurately chart data and generate evidence maps.