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Research Data Management

General information on research data management at the University of Calgary

The FAIR Principles for Research Data Mangement and Stewardship

The FAIR Principles, originally developed for management of scientific data (see Wilkinson et al. 2016), are broadly applicable to data in all disciplines. FAIR offers a framework for making data more Findable, Accessible, Interoperable and Reusable.

The principles emphasize machine-actionability (the ability for machines to find and use data with minimal human intervention). 

Detailed information can be found at the link above, but here are a few easy ways for you to make your data FAIR:

  • Organize your data with logical file structures and consistent file naming conventions.
  • Use open and standard file formats for your data where possible.
  • Describe and document your data with appropriate metadata
  • Assign a Creative Commons or other standard licence to your data.
  • Deposit your data into a recognized repository that assigns your dataset a persistent identifier for enhanced discoverability and citability. See the Store and Share section of this guide for help choosing a repository.