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Data management plan (DMP) builder: guided sections, word counts and Word, PDF or Markdown downloads

Write a data management plan section by section, with plain questions to answer for data, documentation, storage, ethics, sharing, preservation, roles and costs. Word counts and optional word limits per section, and downloads as Markdown, Word, PDF or an image. Your draft stays in your browser.

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  1. Details
  2. Sections
  3. Count
  4. Download
Nothing is uploadedWorks offline once open

Your plan

Off at first: nothing is saved unless you tick it. When ticked, the draft is saved in this browser only (local storage), so it is here next time you open the page. It never leaves your device. Untick it or press Start again to delete it. Open a Markdown file reads back a plan you downloaded from this page (up to 1 MB).

1. Data description

What data the project will make or reuse.

Questions to answer
  • What will you collect, measure, record or reuse (surveys, images, readings, code, samples, interviews)?
  • Which file formats will you use, and are they open or widely readable?
  • Roughly how much data do you expect (number of files, gigabytes)?
  • How is each kind of data made: by which instrument, software or method?
  • Is there existing data you could reuse instead of collecting new data?
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2. Documentation and metadata

How someone else (or you, later) will understand the files.

Questions to answer
  • What goes in a README for the dataset (who, what, when, where, how)?
  • Will you keep a data dictionary or codebook that explains every variable, unit and code?
  • Is there a metadata standard used in your field that you will follow?
  • How will you name files and folders, and keep track of versions?
  • Where will methods, settings and processing steps be written down?
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3. Storage and backup

Keeping the data safe while the project runs.

Questions to answer
  • Where will the working data live (institution storage, lab server, encrypted laptop)?
  • How often is it backed up, how many copies are kept, and is one copy in a different place?
  • Who can read or change the data, and how is access controlled?
  • How will sensitive data be protected (encryption, locked rooms, separate keys)?
  • Have you tried restoring a file from a backup?
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4. Ethics and legal

Consent, personal data, ownership and permissions.

Questions to answer
  • Does the data involve people, and what will participants be told and agree to?
  • Which approvals do you need (ethics board, data protection, permits), and have you applied?
  • How will you remove or hide details that could identify someone?
  • Who owns the data, and are there contracts, licences or third-party rights to respect?
  • Which laws or policies on personal or sensitive data apply where the data is collected and stored?
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5. Sharing and access

Who can use the data, when and how.

Questions to answer
  • Which data will you share, and which can you not share (and why)?
  • When will it be shared: with a paper, at the end of the project, after an embargo?
  • Where will it go (a subject repository, a general repository, your institution)?
  • Under which licence or terms of use?
  • Will the dataset get a persistent identifier (such as a DOI) so it can be cited?
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6. Preservation

What is kept after the project ends, and for how long.

Questions to answer
  • Which data has long-term value and which can be deleted?
  • How long will it be kept, and who decided (policy, funder, your field)?
  • Which formats will you convert to for the long term?
  • Which repository or archive will look after it?
  • How will data that must be destroyed be destroyed safely?
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7. Responsibilities

Who does what.

Questions to answer
  • Who is responsible for each part of this plan (collection, documentation, backup, sharing)?
  • Who looks after the data day to day, and who checks the plan is followed?
  • What happens if someone leaves the project?
  • Do partners or collaborators share the work, and is it written down?
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8. Costs and resources

Time and money that managing the data needs.

Questions to answer
  • What storage, backup or software will you pay for?
  • How much staff time goes to cleaning, documenting and preparing data for sharing?
  • Are there repository fees or charges for long-term archiving?
  • Is any training or specialist help needed?
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Summary and downloads

Download

Sections with nothing written show "Not written yet" in the downloads. Check what your funder or institution asks for: their own template, headings and word limits come first.

What it does

A data management plan (DMP) says what data a project will make, how it will be kept safe, who may use it and what happens to it at the end. Many funders, universities and ethics boards ask for one with a grant application or before a study starts. This page helps you write one in eight generic sections that most plans have:

  1. Data description: what you will collect or reuse, in which formats, and how much.
  2. Documentation and metadata: README files, data dictionaries, file names and versions.
  3. Storage and backup: where the working data lives, backups and who has access.
  4. Ethics and legal: consent, personal data, approvals and ownership.
  5. Sharing and access: what you share, when, where and under which licence.
  6. Preservation: what is kept long term, for how long, and what is destroyed.
  7. Responsibilities: who does each part of the plan.
  8. Costs and resources: storage, staff time, repository fees and training.

Each section has a short list of questions to answer (open Questions to answer). They are prompts written by fibub, not any funder’s wording, so check what your own funder or institution asks for: if they give a template, its headings and limits come first, and you can copy your text across.

How to use it

  1. Details. Type the project title, who prepared the plan, the funder or programme (optional) and the date.
  2. Sections. Write each section in plain sentences. Leave a blank line between paragraphs; the downloads keep them.
  3. Word counts. Each section shows its word count. Type a word limit if your template has one: the count turns red and says how many words you are over. The summary table lists every section as written, not written yet, or over its limit.
  4. Download. Download Markdown gives a plain text file with a heading per section. Image, PDF and Word make a tidy report with the summary first.

Keep my draft in this browser (off at first, so nothing is saved until you tick it) saves what you type in this browser’s local storage, so the plan is still here when you come back. It is never sent anywhere. Untick it, or press Start again, to delete the saved draft. To move a plan to another computer, download the Markdown and open it there with Open a Markdown file.

Worked example

Press Fill with the example to load a made-up project: soil samples from 40 allotment plots plus a survey of plot holders. The summary reads 339 words, 8 of 8 sections written. The data description has 81 words against a limit of 120, and the ethics section 49 against a limit of 50. Change the ethics limit to 40 and the section shows “49 of 40 words, 9 over”, and the summary adds “1 over the word limit”.

How words are counted

A word is any run of characters between spaces that holds at least one letter or digit. “Long-term” and “3.5” are one word each; a dash on its own is not a word. Word processors count nearly the same way, but some count a lone dash, so allow a few words of slack under a hard limit.

Tips

  • Be specific: name the storage, the repository and the person, rather than saying “data will be stored securely”.
  • Say what you cannot share and why. That is a normal, accepted answer for personal data.
  • Update the plan when the project changes; a DMP is a living document.

FAQ

Does this page check my plan against a funder’s rules? No. It gives generic sections and counts words. Funders’ requirements differ and change, so check their current guidance and template.

Where is my draft kept? Only in this browser, and only while Keep my draft in this browser is ticked. Clearing your browser’s site data also deletes it.

Can I add my own sections? Not on this page. Download the Word file and add them there, or add ## headings to the Markdown file.

Where the numbers come from

  • The eight sections, their short descriptions and the guiding questions are written by fibub in its own words as a generic outline. They are not copied from any funder's or institution's template.
  • Word counts are checked in the tests against Python (tokens split on white space that hold a letter or digit).
  • The example plan is a made-up project.

Standard scientific values, such as constants, atomic weights and melting points, are facts found in every textbook; we name where ours were checked. If you are an author or publisher and want a value, a credit or a table changed or removed, tell us and we will act quickly.

Last updated 2026-11-09.

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