A data management plan (DMP) is a short document, written before the research begins, that sets out how your data will be collected, named, stored, kept safe, and eventually shared. A little planning at the start prevents a great deal of chaos — and heartbreak — later.

Ask experienced researchers about their worst moments and many will tell you about data: the lost file, the folder no one could decipher, the drive that died the week before the deadline. Almost every one of those disasters was preventable with a plan made on day one. That plan is what this lesson is about.

What a DMP decides up front

• What data — what you’ll collect, in what formats, and how much.
• How it’s organised — folder structure and file-naming, agreed before the mess begins.
• Where it’s stored & backed up — and how it’s kept secure.
• Who can access it, and how it will be shared when the project ends.

Funders increasingly require it

Beyond saving you grief, a DMP is now often mandatory: many funders won’t release a grant without one. Free tools exist to walk you through it step by step, so you’re never staring at a blank page.

🔗 A friendly free guide: DMPTool — Data Management Plans

The plan’s first promise — that you can find your data later — rests on how you organise it. On to Data Organisation.

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