Data management plans

A data management plan documents the lifecycle of your data. It explains how you'll collect, store, access, and share you data so other researchers can reproduce your results.

Why you need a data management plan

A good data management plan makes your research results available and accessible after your project is complete and you've published the results. This makes your research more valuable and easier to reproduce.

What your data management plan should include

Your data management plan should explain:

  • What type of data will be produced
  • How your data will be organized
  • What standards you'll use for documentation and metadata
  • What steps you'll take to protect privacy, security, confidentiality, intellectual property or other rights
  • How, where, and when your data will be accessed and shared by others
  • Where you'll archive and preserve your data and for how long
  • Who's responsible for each part of your data management plan (either in each relevant section or in a separate roles and responsibilities section)

See the University Consortium for Political and Social Research's data management plan framework for more detailed tips.

Create your plan with DMPtool

DMPTool helps you create data management plans that meet funder guidelines. In this tool, you can:

  • Submit your plan for review by library staff
  • Find templates for federal and private funders, including NSF, NIH, USDA, and more
  • Export your plan into Microsoft Word or PDF formats
  • Create test plans with funder-specific and generic templates

Learn more about how to use DMPtool.

Sign in to DMPTool with your University of Arizona email to get started.

Data management plan examples

These vetted DMPs from successful proposals were provided by UA researchers. Please do not copy text from these DMPs verbatim into your own DMP. Use your NetID to view.

TitleFunderDateCourtesy of
Clinical data example (after selecting the link, choose the "Data Management and Sharing Plans" drop down menu from the resulting page)NIH National Institutes of Health (2023 DMSP)2023Bonnie LaFleur 
Using natural language processing to determine predictors of healthy diet and physical activity behavior change in ovarian cancer survivors (Dataworks! DMP Challenge Winner)NIH National Institutes of Health (2023 DMSP)2022UA researcher
Area of research: Food security and agricultureNSF Social and Economic Sciences (SES)2017UA researcher
Accelerating Comparative Metagenomics Through an Ocean Cloud CommonsNSF Computer and Information Science and Engineering (CISE)2016Bonnie Hurwitz
Synthesis and Design Workshop Principles for the Equitable Design of Digitally-Distributed, Studio-Based STEM Learning EnvironmentsNSF Education and Human Resources (EHR)2018Leslie Sult
Nutrient Bioavailability--Phytonutrients and BeyondUSDA NIFA2018Frank Duca
Area of Research: Insect resistance to pesticidesUSDA NIFA2019UA researcher
OSIRIS-REx Science Data Management Plan (no login required). See the OSIRIS-REx Mission Bundle page for citation information.NASA2016Dante Lauretta

General NSF examples

Biological Sciences examples

Engineering examples

Geosciences examples

Get help from a librarian

Please reach out to us any time! You're not alone in your project, and we'd be happy to hear from you so we can best support your research.