Evaluation for gnbr

Evaluator: Not specified

Evaluated on: 2025-08-14

This is a manual evaluation intended to identify potential barriers to reuse.


Access Level and Types

QuestionAnswerComment
Access to data outside of the knowledge graphYCan access themes which relate to the path types and their score
API or online access to the knowledge graphN
Multiple access options availableN
Source code availabilityNBut can get code to process data
Downloadable knowledge graphYBut its very weirdly done; separated into files by edge types

Section Score: 2/5

Provenance of Nodes and Edges

QuestionAnswerComment
Source list providedYBut NLP so not many databases used
Source versions informationYPubtator annotations from april 30, 2016
Import dependenciesYDetailed dependancy path extraction;
Node and edge sourcesYEach edge has a lot of information; NLP was used and the sentance that constructed something is listed
Edges deduplicationYCounted as a co occurance; feature not a bug used to inform network
Triples source detailsYVery limited
Edge type schemaYNLP; had four interaction types and three node types

Section Score: 7/7

Documented standards, schema, construction

QuestionAnswerComment
Biological usable dataYAll information coming from publications outside of KG
Resolvable IDsYUses UMLS IDs for rare diseases
Construction documentationYSpecifies where disease and drug nodes come from
Transformation documentationYEliminated paths containing dependencies of type conj
Schema usedYSelf documented and reported with downloads

Section Score: 5/5

Update frequency and versioning

QuestionAnswerComment
Stable versionsY7 versions available
Public tracker informationN
Knowledge graph contact informationN
Updated annuallyYBut not updated since 2019
Prior versions accessYAnd indicated which version was used in the paper

Section Score: 3/5

Evaluation - Metrics and Fitness for Purpose

QuestionAnswerComment
Use case providedYDrug disease indications ; 2 case studies
Evaluation against other modelsYCompared to gold standard drug indications; relationships from other databases for those gotten using NLP methods
Defined scopeYDrug repurposing
Multiple evaluation methodsYCase studies; drug-disease path analysis; validation using DGIdb; used lit review to verify novel drug
Accuracy metricsYPerformance on gold standard drug indications calculate AUROC; dendrograms of the themes

Section Score: 5/5

License Information

QuestionAnswerComment
LicenseCC BY 4.0