My data and files are disorganised and I can't find things
Set up a folder structure, naming rules and backups you'll keep using, then clear the backlog in one afternoon.
In short
Start here, today. Test your backup. Pick one important file, find its most recent copy somewhere other than your laptop, and open it. If you can't, set up an automatic backup before you do anything else today. This takes about 20 minutes.
After that, work through these steps. Choose one to jump to it.
Step by step
Tick each step as you finish it. Open a step for the how.
0 of 7 steps done
Choose a simple folder structure
Something like 01_admin, 02_literature, 03_data_raw, 04_data_processed, 05_analysis, 06_outputs, 07_writing. Numbering the folders keeps them in order. Use the same structure for every study or chapter so you always know where to look.
Set a file naming rule
Put dates first and year first so files sort properly, use short descriptive words, and avoid spaces and special characters: 2026-10-02_interview_P07_transcript.docx. Use version numbers (v01, v02) rather than “final”. For scripts and code, version control such as Git is worth learning; for documents, numbered versions are enough.
Keep raw data untouched
Put original data, recordings, scans and instrument output in the raw folder and make it read-only. All cleaning happens on copies, ideally in a script or a written log, so you can always get back to the start. If you've already edited raw files, write down what you changed as best you can and keep the oldest version you have.
Write a README and a codebook
The README explains what's in each folder and how the files relate. The codebook lists every variable or column with its meaning, units or categories, and how missing values are marked. For qualitative work, your code definitions and transcription conventions belong here too. Your committee, your future self and anyone who archives your data will need both.
Back up using 3-2-1
Keep three copies, on two different kinds of storage, with one away from where you work: for example your laptop, an external drive and your institution's cloud storage. Check that your choice fits your ethics approval and any data agreements, since many restrict where identifiable data can be kept. Automate it so it doesn't depend on your memory.
Write or update a data management plan
A data management plan sets out how you'll collect, store, share and eventually archive or destroy your data, and some funders and universities require one. In Canada, DMP Assistant has free templates. Elsewhere, ask your library which tool or template your institution uses; librarians will often review a draft for you.
Clear the backlog in one afternoon
Book three or four hours. Create the new structure, move files across without perfecting them, delete duplicates only when you're certain, and put anything uncertain in a folder called to_sort. From then on, the rules apply to new files, and the old ones can be tidied gradually.
Words you can use
Is this you? Signs to look for
- You have files called “final”, “final2” and “final_USE_THIS” and aren't sure which one your results came from.
- Your data is spread across a laptop, a lab computer, a USB stick, your email and a cloud folder, and none of them is complete.
- You've edited a raw data file directly and can't get back to the original.
- You couldn't explain what each variable, code or column means without opening the file and guessing.
Why this happens
Disorganised files rarely come from carelessness. They come from working fast for months: a quick export here, a renamed copy there, a recording saved wherever the device put it. Each choice made sense at the time. The cost arrives later, when you need to rerun an analysis for a reviewer, find the interview with the perfect quote, or show your examiners how you got from raw data to Table 3.
There is a real risk underneath the mess, too. Laptops are stolen, drives fail and synced folders happily sync a deletion. Losing your data is one of the worst things that can happen during a PhD, and it is also one of the easiest to prevent.
Worth a look (3)
- DMP AssistantA free Canadian tool with templates for writing a data management plan.
- Sage Research MethodsBooks, case studies, videos and practice data sets on research methods, from interviews to regression. Your library usually provides access.
- PRISMAThe reporting guideline for systematic reviews and meta-analyses, with the checklist, flow diagram templates and extensions for scoping and other reviews. Many journals expect you to follow it.
When to bring someone in
Your university library, often through a research data management specialist, can help with data management plans, storage and archiving. Research computing or IT services can tell you which storage is approved for sensitive data. If your data is identifiable and you're not sure your current setup meets your ethics approval, ask your research ethics office.
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