Reproducibility in Research

This guide provides resources, tips, and tools on making one's research reproducible

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.