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Research Data Management at UF

This is a guide on resources available at the University of Florida and beyond on research data management. It includes information about tools for data management planning, data and file sharing, metadata and data standards, and data storage.

Step One: Describe Research Project and Identify Your Data

Make a data inventory:

  • What the data describes and what type it is.
  • How the data is collected, generated, etc.
  • How much of it there will be (i.e. volume estimates).
  • How it will be saved (file formats)
  • What software will be used (file types).

Creating a complete inventory is an important step even though you may only be able to provide a summary in a Federal DMP due to length ( most less than two pages some only one paragraph).

Step One Questions

What is your research purpose?


What type of data is it?

Examples:Spatial, temporal, observational, experimental, survey responses, etc.

How will the data be collected?

Examples:recorded interviews, surveys, models, sensors, image analysis, DNA sequencing, word counts, camera traps, etc.

How will the data be saved and opened?

(i.e. file types and file formats)

Example file types:text, spreadsheets, databases, digital images, sound files, digital video, computer code, algorithms, etc.
Example file formats:PDF (portable document format), .csv (comma separated values), .docx (Microsoft Word), .txt (plain text), etc.

How much data will be generated for this research?


How long will the data be collected and how often will it change?


Are you using data that someone else produced? If so, where is it from?>


Who is responsible for managing the data? Who will ensure that the data management plan is carried out?

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