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Data Curation, Preservation, and Reuse

This guide aims to help researchers through the data curation process at any stage in a projects lifecycle.

FAIR Introduction

What is FAIR?

Properly curated research data should abide by the four core FAIR guiding principles:

Findable, Accessible, Inter-operable, and Reusable

FAIR: Findable, Accessible, Inter-operable, Reusable

Source: https://kidsfirstdrc.org/about/drc_impact/

The FAIR principles do not prescribe any particular technology, standard, or specification, but rather act as a guide to researchers to aid them in evaluating whether their current data curation practices are sufficent to render their data Findable, Accessible, Inter-operable, and Reusable, or FAIR.

Through practical tutorials and resources, this guide will assist any researcher in performing data curation to enrich a research data project consistently with the FAIR principles. Before doing so, it is important to have a broader understanding of the FAIR guiding principles, and their role in data curation.

Findable

Findable BannerFor data (and metadata) to be findable it must:

Adapted from: https://www.go-fair.org/fair-principles/ in accordance with a Creative Commons Attribution 4.0 License

Accessible

Inter-operable

For data (and metadata) to be inter-operable it must:

Adapted from: https://www.go-fair.org/fair-principles/ in accordance with a Creative Commons Attribution 4.0 License

Reusable

Reusable Banner

For data (and metadata) to be inter-operable it must:

Adapted from: https://www.go-fair.org/fair-principles/ in accordance with a Creative Commons Attribution 4.0 License

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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