Research Data Life Cycle

The University of Florida Libraries are here to assist you with data management planning, including the development of data management plans, supporting long term preservation needs, improving data discoverability, and meeting UF security and privacy requirements. The UF Data Guide will help you understand your data type within UF’s data classification guidelines. This guide can also be used to find approved software and computing infrastructure for use with various data types. See: UF Integrated Risk Management (IRM) for the UF Data Guide.

Why manage research data?

  • Save time
  • Meet funding requirements
  • Increase discovery and reuse
  • Protect and preserve data


The development of this Data Management Planning Guide would not have been possible without previous work:

Australian Research Data Commons (ARDC). (2022). Data Management Plans.

DataONE. (2013). Ensure the reliability of your storage media.

DataONE. (2016). Data Management Skillbuilding Hub.

DCC. (2013). Checklist for a Data Management Plan. v.4.0. Edinburgh: Digital Curation Centre. Available online:

Digital Curation Centre. (2013). What are Metadata Standards.

Hanson, K., Surkis, A., & Yacobucci, K. Data Sharing and Management Snafu in 3 Short Acts.

University of Edinburgh. (2021). MANTRA: Research Data Management Training.

University of Texas at Austin Libraries. (2013). Recommended File Formats.