How to Organize Scientific Literature
Conferences, articles, and discussions generate ideas. Pilus connects them before you forget.
The Challenge of Information Overload
As a researcher, you read dozens of papers every month. Each paper contains references to other papers, mentions multiple genes, cites various researchers, and describes biological processes. How do you keep track of it all?
Traditional methods like folders, spreadsheets, or reference managers help store papers, but they fail to capture the connections between your knowledge pieces.
The Knowledge Graph Approach
Instead of organizing papers linearly, think of your knowledge as a network. Each piece of information is a node, and each relationship is an edge connecting them.
5 Tips for Effective Organization
Start with What You Read
Every time you read a paper, create a card for it. Include the key finding, your notes, and immediate connections.
Create Gene Cards for Key Players
When a gene is central to your research, create a dedicated card. Import from NCBI Gene to get aliases, function, and chromosomal location.
Track Researchers, Not Just Papers
Create researcher cards for key authors in your field. This helps you identify experts, collaborations, and follow their work.
Document Biological Processes
Create cards for metabolic pathways, signaling cascades, or regulatory mechanisms. Link genes and papers to these processes.
Review Your Graph Regularly
Use the visual graph to spot gaps in your knowledge, identify clusters of related work, and find unexpected connections.
Relation Types That Matter
The power of a knowledge graph comes from meaningful relationships:
- cites — Paper A references Paper B
- works on — Researcher studies a gene/process
- collaborates with — Two researchers co-author
- regulates — Gene/process controls another
- involved in — Gene participates in a process
- presented at — Work shown at a conference
Start Building Your Knowledge Graph
You don't need to import your entire library at once. Start with your current project, add papers as you read them, and let your graph grow organically.