Annual User Satisfaction Survey. We need your help to improve SLGO with your feedback. Take this short survey!

Skip to content

A Regional Association of CIOOS

OGSL
  • HOME
  • ABOUT
  • DATA MANAGEMENT
  • VISUALIZATION TOOLS
  • DATA CATALOGUE
  • BLOG
  • fr
  • DATA MANAGEMENT
    • ABOUT
    • ESSENTIAL OCEAN VARIABLES
    • FAIR PRINCIPLES
    • CARE PRINCIPLES
  • OUR SERVICES
    • GUIDANCE & SUPPORT
    • PRESENTATIONS
    • DATA MANAGEMENT TRAINING
  • DOWNLOADABLE RESOURCES
    • DATA MANAGEMENT GUIDE 2022
    • DATA MANAGEMENT GUIDE 2015
    • POSTERS

FAIR PRINCIPLES

FAIR Principles

Large amounts of information are now available online and continue to be generated daily by an increasingly technological science. To ensure that data is always easily discoverable and accessible, some practices can be put in place to guide this process.
The FAIR principles aim to make data discoverable, accessible, interoperable and reusable. These guidelines were defined during a workshop in Leiden, the Netherlands, in 2015.


fair_poster

Download the free printable poster of FAIR principles here:
(Optimal print size: 24″x36″)

  • Image format
  • PDF format

Findable

Findable data can be ensured by defining a unique persistent identifier (e.g. DOI or URL), by following the data with rich metadata following recognized norms that itself includes the identifier, and finally, ensuring an indexed presence in both regional and international data discovery portals or search engines.

Accessible

Being accessible means that data can be easily obtained by humans as well as by machines, through well-defined and ideally standardized protocols. Access conditions must be clearly established (license, reuse rights, etc.). Even when the data is inaccessible, the metadata should remain so in a way that the dataset remains discoverable. The author of the dataset can then be reached for more information or for a data access request (for example, under specific conditions).

Interoperable

Interoperability makes it possible to integrate different data into a single interface, for example within the same web application. This can be achieved in a variety of ways, including: the use of a common programming language, the use of controlled vocabulary, as well as non-proprietary formats. The same efforts can be applied to metadata as well as references to other (meta)data.

Reusable

By having data and metadata following best practices, it is possible to optimize them for reuse. Data and metadata must be richly detailed, as well as user licenses. Any information specific to the field of interest of the data in question must be made available as well.

Sources:

  • https://www.force11.org/fairprinciples
  • https://www.go-fair.org/fair-principles/
  • https://www.ands.org.au/working-with-data/fairdata
  • https://www.nature.com/articles/sdata201618.pdf
CONTACT US
Our Team
info@ogsl.ca
Privacy Policy
CIOOS

CIOOS National
Pacific Region
St. Lawrence Region
Atlantic Region

DATA

Data Catalogue
Data Tools
Asset Map
Conditions of Use

SUBSCRIBE TO SLGO VIA EMAIL