FAIR Vocabulary (FAIR)

The FAIR Vocabulary is a formal vocabulary that provides machine-readable definitions and semantic representations of the FAIR Data Principles: Findability, Accessibility, Interoperability, and Reusability [1] [2]. It formalizes key concepts underlying FAIR data management, including persistent identifiers, metadata, access protocols, interoperability standards, qualified references, provenance, licensing, and reusability conditions [1] [2]. The vocabulary represents FAIR principles and sub-principles as semantic entities, allowing them to be referenced, linked, and interpreted in machine-readable environments [2] [3]. FAIR vocabulary terms can be applied to dataset descriptions, data repositories, metadata records, and digital object properties to formally express FAIR characteristics and support FAIR assessment workflows [2]. By providing standardized semantic definitions, the vocabulary facilitates communication of FAIR principles within research organizations, funding agencies, repositories, and data management communities [1] [2].

Example Usage: Annotate a dataset in a repository with FAIR terms to indicate its Findability through persistent identifiers, Accessibility through standard access protocols, Interoperability through shared formats and ontologies, and Reusability through clear licensing, provenance, and rich metadata [1] [2].

Metrics & Statistics

Graph Statistics

Total Nodes

92

Total Edges

180

Root Nodes

9

Leaf Nodes

37
Knowledge Coverage Statistics

Classes

7

Individuals

19

Properties

1
Hierarchical Metrics

Maximum Depth

1

Minimum Depth

0

Average Depth

0.18

Depth Variance

0.15
Breadth Metrics

Maximum Breadth

9

Minimum Breadth

2

Average Breadth

5.50

Breadth Variance

12.25
LLMs4OL Dataset Statistics

Term Types

19

Taxonomic Relations

3

Non-taxonomic Relations

3

Average Terms per Type

9.50

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import FAIR

ontology = FAIR()
ontology.load("path/to/FAIR-ontology.owl")

# Extract datasets
data = ontology.extract()

# Access specific relations
term_types = data.term_typings
taxonomic_relations = data.type_taxonomies
non_taxonomic_relations = data.type_non_taxonomic_relations

References