Slot: Reason Data Completeness Is Missing (data_completeness_pct_missing_reason)

Reason data_completeness_pct is null.

Tier: optional

Why this slot matters

Distinguishes "completeness is genuinely uncomputable" from "it could be derived but the pipeline does not yet do so" — a distinction that tells a data steward whether the gap is a limitation of the source or a fixable pipeline shortfall.

In plain terms

If the completeness percentage is missing, this says why — for example the number could be worked out from the data but the software has not been set up to calculate it yet. It flags the blank as a known to-do rather than an impossibility.

URI: envar:slot/data_completeness_pct_missing_reason

Applicable Classes

Name	Description	Modifies Slot
Uncertainty	Uncertainty and quality character of a value series: per-value uncertainty ty...	no

Properties

Type and Range

Property	Value
Range	MissingReasonEnum
Domain Of	Uncertainty

Cardinality and Requirements

Property	Value

Examples

Value
available_but_not_extracted

Identifier and Mapping Information

Annotations

property	value
tier	optional
justification	Distinguishes "completeness is genuinely uncomputable" from "it could be derived but the pipeline does not yet do so" — a distinction that tells a data steward whether the gap is a limitation of the source or a fixable pipeline shortfall.
explanation	If the completeness percentage is missing, this says why — for example the number could be worked out from the data but the software has not been set up to calculate it yet. It flags the blank as a known to-do rather than an impossibility.

Schema Source

• from schema: https://w3id.org/linkml/microschemas/envar

Mappings

Mapping Type	Mapped Value
self	envar:data_completeness_pct_missing_reason
native	envar:data_completeness_pct_missing_reason

LinkML Source

name: data_completeness_pct_missing_reason
annotations:
  tier:
    tag: tier
    value: optional
  justification:
    tag: justification
    value: Distinguishes "completeness is genuinely uncomputable" from "it could be
      derived but the pipeline does not yet do so" — a distinction that tells a data
      steward whether the gap is a limitation of the source or a fixable pipeline
      shortfall.
  explanation:
    tag: explanation
    value: If the completeness percentage is missing, this says why — for example
      the number could be worked out from the data but the software has not been set
      up to calculate it yet. It flags the blank as a known to-do rather than an impossibility.
description: Reason `data_completeness_pct` is null.
title: Reason Data Completeness Is Missing
examples:
- value: available_but_not_extracted
  description: Completeness could be computed from the output but the pipeline does
    not yet do so.
from_schema: https://w3id.org/linkml/microschemas/envar
rank: 1000
domain_of:
- Uncertainty
range: MissingReasonEnum