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Related Experiment Video

Updated: Nov 2, 2025

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition

Published on: July 13, 2019

Ten simple rules for making a vocabulary FAIR.

Simon J D Cox¹, Alejandra N Gonzalez-Beltran², Barbara Magagna³

¹CSIRO Land and Water, Melbourne, Australia.

Plos Computational Biology

|June 16, 2021

Summary

We provide ten rules for converting legacy vocabularies into FAIR vocabularies. This process ensures unique identifiers for terms, enhancing data interoperability and integration through unambiguous annotation.

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Area of Science:

Data Science
Information Science
Semantic Web Technologies

Background:

Legacy vocabularies, often in print or inaccessible formats, hinder data interoperability.
Converting these terms into machine-readable and web-accessible formats is crucial for modern data management.

Purpose of the Study:

To present a set of ten simple rules for transforming legacy vocabularies into FAIR (Findable, Accessible, Interoperable, Reusable) vocabularies.
To guide researchers in creating globally unique, resolvable identifiers for vocabulary terms.

Main Methods:

The study outlines a stepwise recipe for converting legacy vocabularies.
Emphasis is placed on assigning globally unique resolvable identifiers to each term.
Recommended use of SKOS or OWL, serialized in RDF, for machine interchange and web pages for human consumption.

Main Results:

A methodology for converting legacy vocabularies into FAIR vocabularies is established.
The process ensures each term has a unique, resolvable web identifier.
Guidelines for metadata, development, and maintenance are provided.

Conclusions:

Following the ten rules enables the creation of standalone FAIR vocabularies from legacy sources.
This conversion facilitates unambiguous data annotation, significantly improving data interoperability and integration.