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Ensure your research can be successfully replicated by others, work through this checklist:

• Data quality - record your data using "tidy data" () principles, so that every element can be easily processed and analysed.
• Documentation - Document your study's procedures, allowing others to understand and reproduce your findings. Record in an open text format.
• File naming - Establish a consistent naming convention at the start of your project. Name files consistently and logically to enhance retrieval.
• Folder structure - Create a standard folder structure for organising files. Prefix folders by number to reflect your workflow steps. Record the folder structure in a README.txt file.
• Automation - Automate repetitive tasks (including spreadsheet macros, reusable scripts, and programming pipes and loops) to save time and reduce potential errors.
• Version control - Incorporate a system that allows you to keep track of changes to your data, files or processes. Keep master files separate and use copies of the data for processing.
• Cloud backups - Keep a copy of your data (working, raw and completed) in cloud-based storage. Compare the different Griffith research storage options.
• Security - Establish strong passwords and use a password manager. Encrypt your computer’s hard drive and connect to the Griffith network using VPN when off-campus.
• De-identification - De-identify or separate sensitive data early, to protect participants privacy, vulnerable species or locations. Replace identifiers with codes or keys.
• Object IDs - Assign a DOI to completed research data, publications, and other outputs to make discoverable.