Users can now edit and capture article-level details at the time of directly uploading studies to the Data Extraction (DE) stage. This enhancement allows teams to manually add or update missing metadata when it is not automatically extracted by AI.

Why This Matters

In some cases, AI is unable to extract complete article metadata (such as title, authors, year, or other citation details). Previously, this resulted in incomplete information or required additional steps to add metadata manually in the excel sheet post extraction. With this update, users have the flexibility to add or edit missing article details upfront, ensuring accurate and complete study information before beginning data extraction.

Key Benefits

• Add or edit article metadata during direct upload to DE

• Address gaps where AI extraction is incomplete or unavailable

• Maintain accurate and complete study records

• Reduce rework and downstream corrections

• Support flexible workflows where studies move directly into DE