What is data curation?
Data Curation is the documentation, management, and preservation of research data to produce datasets that are FAIR: Findable, Accessible, Interoperable, and Reusable. By curating research data we add value by enhancing data sets for current use, as well as future discovery and reuse. This guide will also explore data citation as a step in the data curation process.
What is research data?
Research data are items of recorded information "necessary to validate or reproduce your research findings, or to gain a richer understanding of them." (University of Edinburgh - Information Services). Research data encompasses a broad set of categories, from physical specimens to sensor output to the software developed to support analysis of data. Some examples of research data include:
Why curate and share your data?
How can this guide help me?
This guide will assist researchers at any stage of a project in the preparation of their project's data and metadata in order to ensure it is compliant with FAIR principles: Findable, Accessible, Inter-operable, and Re-usable. The included tutorial will guide you, step by step, through the data curation process.