BEMO:2000372 · BEMO metric v1.0.0

Missing-Value Burden

A canonical biomedical evidence metric quantifying the scientific credibility, reliability, relevance, or interpretability of missing-value burden.

CandidateRubricOrModelRequiredContextSpecificProtocolRequired
Scientific pillar
Genetics, Omics, and Systems Biology
Source category
Proteomics and Metabolomics
Output scale
RiskScale
Source maturity
Established

Scientific meaning

What it measures

Assesses missing-value burden using evidence appropriate to proteomics and metabolomics, distinguishing random uncertainty from systematic error.

Why it matters

Material weakness in missing-value burden can change the direction, magnitude, certainty, or biological interpretation of the research conclusion.

Measurement criteria

Prespecified operational definition; appropriate comparator or reference; quantified uncertainty; independent or orthogonal corroboration; sensitivity analyses.

Typical methods of assessment

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

Computation profile

Apply a versioned risk rubric or calibrated probability model defined for the metric and context.
Computation mode
RiskAssessmentComputation
Readiness
RubricOrModelRequired
Formula status
ContextSpecificProtocolRequired
Method family
risk assessment or calibrated probability estimation
Output datatype
xsd:string_or_decimal
Unit or scale
Ordinal risk rating or quantitative percentage/probability; lower is generally better
Numeric range
Context dependent
Directionality
LowerIsBetter

Required inputs

  • risk_factors
  • assessment_context
  • rubric_or_model_version
  • evidence_records

Optional inputs

  • weights
  • thresholds
  • calibration_dataset

Machine-readable expression

{
  "language": "BEMO-Expression-JSON",
  "operator": "external_protocol",
  "protocolRef": "REQUIRED",
  "allowed_outputs": [
    "ordinal_risk_category",
    "probability",
    "percentage"
  ]
}

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
Required for probability outputs; rubric reliability required for ordinal outputs.

Applicability and validation

Evidence object
Result / experiment / study / body of evidence, as applicable
Evidence level
Result / experiment / study / body of evidence, as applicable
Study types
Mass spectrometry, affinity proteomics, metabolomics, lipidomics studies
Domain
Proteomics and Metabolomics
Required data sources
Context-specific; use source references, registered studies, primary data, and authoritative biomedical resources as applicable.
Validation status
Source maturity: Established; 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 missing-value burden 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
379
Source record SHA-256
770bd2fa8c1eedf14831e8e8caca6d53a1ad4a7b7272433891be0eac41a4e30c
Definition source
Pure_Biomedical_Evidence_Research_Metrics_Part_2(3).xlsx row 379; see source_references

Scientific references (3)

  1. https://www.psidev.info/miapeSource framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  2. https://www.psidev.info/Source framework, standard, guideline, or originSource-preserved; URL reachability not asserted by this package
  3. https://www.metabolomics-msi.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.