Knowledge-Graph Evidence Completeness

Scientific meaning

What it measures

Assesses knowledge-graph evidence completeness using evidence appropriate to multi-omics and systems biology, distinguishing random uncertainty from systematic error.

Why it matters

Material weakness in knowledge-graph evidence completeness can change the direction, magnitude, certainty, or biological interpretation of the research conclusion.

Measurement criteria

Required elements present; traceable provenance; unambiguous definitions; accessible underlying data/materials; documented deviations.

Typical methods of assessment

Structured critical appraisal; quantitative estimation with uncertainty; prespecified thresholds; independent replication; sensitivity and subgroup analyses.

Computation profile

Computation mode

QuantitativeProportionComputation

Readiness

TemplateComputable

Formula status

GenericTemplateDefined

Method family

proportion estimation

Output datatype

xsd:decimal

Unit or scale

Proportion or percentage (0–1 or 0–100%)

Numeric range

0 to 1

Directionality

ContextDependentDirection

Required inputs

• numerator
• denominator
• operational_definition
• assessment_context

Optional inputs

• weight
• stratum
• confidence_level

Machine-readable expression

{
  "language": "BEMO-Expression-JSON",
  "operator": "divide",
  "arguments": [
    "numerator",
    "denominator"
  ],
  "constraints": [
    "denominator > 0"
  ]
}

Computation policies

Aggregation

Not specified in source; must be defined and versioned before composite use.

Normalization

None by default; any normalization must be justified, versioned, and validated.

Missing data

Must be declared before computation; report missingness; no silent imputation; perform sensitivity analysis when material.

Uncertainty required

Yes

Uncertainty method

Confidence interval, credible interval, bootstrap distribution, inter-rater reliability, or sensitivity analysis as scientifically applicable.

Confidence interval required

Yes

Threshold policy

Prespecify, justify, version, and sensitivity-test thresholds; do not derive and evaluate on the same data without correction.

Decision thresholds

No universal threshold declared

Quality control

Source provenance; input validation; duplicate control; uncertainty reporting; independent or orthogonal validation where applicable.

Calibration

As applicable; required when interpreted probabilistically.

Applicability and validation

Evidence object

Dataset / model / pathway / network / evidence body

Evidence level

Dataset / model / pathway / network / evidence body

Study types

Integrated omics, networks, pathways, mechanistic and dynamic systems models

Domain

Multi-omics and Systems Biology

Required data sources

Context-specific; use source references, registered studies, primary data, and authoritative biomedical resources as applicable.

Validation status

Source maturity: Developing; BEMO computation profile requires independent validation.

Benchmark

A representative, versioned benchmark set is required before production use.

Reference standard

Use an independent reference standard when one exists; document expert-adjudicated alternatives.

External validation required

Yes

Interpretation safeguards

Common misinterpretations

Treating knowledge-graph evidence completeness as interchangeable with overall study quality, or interpreting a favorable value as proof that all other bias and validity domains are satisfactory.

Limitations

Depends on context, operational definition, thresholds, data quality, and evaluator judgment; it should not be used as a stand-alone summary score without domain-level evidence.

Dependency status

Not yet curated. Closely related metrics are represented; causal or computational dependencies require expert curation.

Source provenance

Source workbook

Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx

Source worksheet

Biomedical Evidence Metrics

Source row

317

Source record SHA-256

082de1cac908d5d8b791ddee2974743d0e0eae71997e72080a5d978e931f8b6c

Definition source

Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx row 317; see source_references

Ontology IRI

https://w3id.org/bemo/BEMO_2000310

Profile IRI

https://w3id.org/bemo/profile/BEMO_2000310

SHACL shape

https://w3id.org/bemo/shapes/BEMO_2000310_AssessmentShape

Scientific references (4)

1. https://geneontology.org/docs/guide-go-evidence-codes/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
2. https://reactome.org/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
3. https://www.uniprot.org/help/evidencesSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
4. https://www.ga4gh.org/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package

Governance and FAIR status

Lifecycle

Candidate

Approval

Draft

Owner

BEMO Project

Curator

Unassigned

Reviewer

Unassigned

License

Pending owner approval; CC BY 4.0 recommended for OBO compatibility.

Findable

Provisional: stable local ID assigned; public namespace registration pending.

Accessible

Provisional: package is distributable; permanent public release location pending.

Interoperable

Yes: OWL 2, RDF, SKOS, SHACL, JSON-LD, CSV, and OBO-style identifiers.

Reusable

Provisional: rich metadata supplied; open-license owner approval pending.

Governance note

Candidate term pending scientific, ontology-engineering, and computation-method review.

Editor note

Source content preserved verbatim; computation metadata is a generated default and must be curated before normative use.