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Table 2 Potential suitability of TBox and ABox semantic graphs for meeting the FAIR Guiding Principles, using Semantic Phenotypes and Phenotype Knowledge Graphs as examples (criteria taken from [7], criteria for reusability not shown)

From: FAIR data representation in times of eScience: a comparison of instance-based and class-based semantic representations of empirical data using phenotype descriptions as example

FINDABLE

F1

(meta) data are assigned a globally unique and persistent identifier

 Semantic Phenotype

✓

Semantic Phenotypes reference ontology classes through their URIs, including the class defining the phenotype. Ontologies provide persistent identifiers for kind terms and their associated universal statements.

 Phenotype Knowledge Graph

✓✓

Phenotype Knowledge Graphs not only reference ontology classes like Semantic Phenotypes do, but also provide URIs for every particular descriptive statement, described part, property, quality, and relation and thus for kind terms, universal statements, proper names, and assertional statements.

F2.

data are described with rich metadata

 Semantic Phenotype

✓

Metadata can be associated with a phenotype description as a whole, but not with each of the individual descriptive statements it comprises.

 Phenotype Knowledge Graph

✓✓

Due to the possibility to organize a Phenotype Knowledge Graph into a set of named graphs, each of which documenting an individual descriptive statement, metadata can be associated on the fine granular level of particular descriptive statements of a phenotype description, in addition to the description as a whole.

F3.

metadata clearly and explicitly include the identifier of the data it describes

 Semantic Phenotype

✓

Metadata can include an identifier that refers to the description as a whole, but not to individual descriptive statements.

 Phenotype Knowledge Graph

✓✓

Metadata can include an identifier that refers to the description as a whole, but also identifiers that refer to each individual descriptive statement.

F4.

(meta) data are registered or indexed in a searchable resource

 Semantic Phenotype

✓✓

Metadata can be expressed as TBox or ABox semantic graphs and stored in a tuple store.

 Phenotype Knowledge Graph

✓✓

ACCESSIBLE

A1.

(meta) data are retrievable by their identifier using a standardized communication protocol

 Semantic Phenotype

✓

Semantic Phenotypes and their metadata can be stored in a tuple store and queried with SPARQL.

 Phenotype Knowledge Graph

✓✓

Phenotype Knowledge Graphs and their metadata can be stored in a tuple store and queried with SPARQL. Because particular descriptive statements, described parts, properties, qualities, and relations have their own URIs, they can be individually accessed.

A1.1

the protocol is open, free, and universally implementable

 Semantic Phenotype

✓

SPARQL

 Phenotype Knowledge Graph

✓

A1.2

the protocol allows for an authentication and authorization procedure, where necessary

 Semantic Phenotype

–

This depends on the application employing the concept of Semantic Phenotypes or Phenotype Knowledge Graphs.

 Phenotype Knowledge Graph

–

A2.

metadata are accessible, even when the data are no longer available

 Semantic Phenotype

–

This depends on the application employing the concept of Semantic Phenotypes or Phenotype Knowledge Graphs.

 Phenotype Knowledge Graph

–

INTEROPERABLE

I1.

(meta) data use a formal, accessible, shared, and broadly applicable language for knowledge representation

 Semantic Phenotype

✓

Semantic Phenotypes and Phenotype Knowledge Graphs both can be represented in RDF/OWL.

 Phenotype Knowledge Graph

✓

I2.

(meta) data use vocabularies that follow FAIR principles

 Semantic Phenotype

✓

Semantic Phenotypes and Phenotype Knowledge Graphs both use ontologies and other controlled vocabularies that provide URIs for their terms.

 Phenotype Knowledge Graph

✓

I3.

(meta) data include qualified references to other (meta)data

 Semantic Phenotype

✓

This depends on how and which (meta) data are provided, but Semantic Phenotypes and their associated metadata can include cross-references and inter-relationships to other Semantic Phenotypes and their metadata.

 Phenotype Knowledge Graph

✓✓

This depends on how and which (meta) data are provided, but Phenotype Knowledge Graphs and their associated metadata can include cross-references and inter-relationships to other Phenotype Knowledge Graphs and their metadata and that to a finer degree of granularity than Semantic Phenotypes due to the fact that they provide URIs to individual descriptive statements and to each described part, property, quality, and relation.