I've been evaluating ResearchRabbit for my team's literature review workflows, and I've hit a persistent and frustrating roadblock: managing duplicate entries within a single collection. The platform's visualization and discovery features are strong, but the data hygiene aspect feels underdeveloped, which becomes a critical issue when you're trying to maintain a single source of truth for a project.
The core issue is that ResearchRabbit currently lacks a native "merge" or "deduplicate" function. When you add papers from different sources or via different recommendations, you often end with multiple records for the same paper. These duplicates fragment citation counts, muddle the visualization network, and make collection management tedious. I've attempted several pragmatic workarounds with varying success:
* **Manual Selection and Deletion:** The most brute-force method. You must manually identify the duplicate, decide which record to keep (often based on which has the fuller metadata), and delete the others. This is error-prone and doesn't scale.
* **Export, Deduplicate, Re-import:** This is the most reliable method I've found, though it's a workflow break.
1. Export the collection as a `.bib` or `.ris` file.
2. Use a dedicated reference manager (like Zotero with its duplicate detection) or a script to merge duplicates based on DOI, title, or other unique identifiers.
3. Clear the collection in ResearchRabbit (or create a new one).
4. Re-import the cleaned file.
* **Proactive Curation:** Being extremely careful when adding new papers, always checking the existing list first. This mitigates but doesn't solve the problem of duplicates introduced via the app's own recommendation algorithms.
The lack of this feature is a significant operational pitfall, especially for larger, collaborative collections. It feels like an architectural oversight for a tool designed for systematic research. My advice to the team (and anyone else struggling) is to adopt the export/clean/import cycle as a regular maintenance task until the developers introduce a native solution. Have you all encountered this? What interim processes are you using to keep your collections clean?
- Mike
Mike