Organizing Your Work: Best Practices for Efficient Research Management
This guide, created by Dr. Konrad Paszkiewicz at the University of Exeter, outlines effective strategies for organizing your research workflow. It emphasizes the importance of documenting processes, establishing a clear folder structure, and creating descriptive file names to maintain an audit trail. By detailing analyses into manageable steps, users can create intermediate files systematically, facilitating easy parameter checks. The example project on Arabidopsis illustrates how to properly document aims and sequencing runs, ensuring clarity and traceability throughout your research.
Organizing Your Work: Best Practices for Efficient Research Management
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Presentation Transcript
Organising your work Dr Konrad Paszkiewicz University of Exeter
Analysis • Includes many steps • Which leads to many intermediate files
Analysis • Includes many steps • Which leads to many intermediate files • Important to document what you do as you do it • Organise your folders and file naming • Enables clear audit trail • Easy to check parameters
Analysis • Includes many steps • Which leads to many intermediate files • Important to document what you do as you do it • Organise your folders and file naming • Enables clear audit trail • Easy to check which parameters were used
Example Project Arabidopsis Bra1/ Comparison/ Sample Bra1 A/ Sample Bra1 B/ Bra1A vs Bra1B/ raw_illumina_reads/ remapping to reference/ denovo assembly/ SNP calls/ annotation/ SNPs PFAM domains reference_genome/
Summary files • In each Project directory create a file explaining what the project aims are and details of the sequencing run • In each Sample directory create a text file explaining what the sample is
History command • The ‘history’ command on your terminal lists all the commands you have typed in • history > my_record.txt • Put one in each of your directories as you complete each analysis
