Enum: LimitationTypeEnum
Types of limitations that may affect dataset use or interpretation. Distinct from biases (systematic errors) and anomalies (data quality issues).
URI: data_sheets_schema:LimitationTypeEnum
Permissible Values
| Value | Meaning | Description |
|---|---|---|
| scope_limitation | None | Dataset does not cover all intended use cases or populations |
| temporal_limitation | None | Dataset is limited to specific time periods |
| coverage_limitation | None | Dataset has incomplete coverage of target domain |
| methodological_limitation | None | Data collection methodology introduces constraints |
| representativeness_limitation | None | Dataset may not be representative of target population |
| resolution_limitation | None | Data granularity or resolution is insufficient for some uses |
| integration_limitation | None | Challenges in combining with other data sources |
Slots
| Name | Description |
|---|---|
| limitation_type | Category of limitation (e |
Identifier and Mapping Information
Schema Source
- from schema: https://w3id.org/bridge2ai/data-sheets-schema
LinkML Source
name: LimitationTypeEnum
description: Types of limitations that may affect dataset use or interpretation. Distinct
from biases (systematic errors) and anomalies (data quality issues).
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
permissible_values:
scope_limitation:
text: scope_limitation
description: Dataset does not cover all intended use cases or populations. The
scope of the dataset is narrower than the intended application domain.
temporal_limitation:
text: temporal_limitation
description: Dataset is limited to specific time periods. Data may not reflect
current conditions or may not be applicable to other time periods.
coverage_limitation:
text: coverage_limitation
description: Dataset has incomplete coverage of target domain. Missing data points,
categories, or geographic regions within the intended scope.
methodological_limitation:
text: methodological_limitation
description: Data collection methodology introduces constraints. Limitations arising
from how data was gathered, measured, or processed.
representativeness_limitation:
text: representativeness_limitation
description: Dataset may not be representative of target population. Sample may
not accurately reflect the broader population of interest.
resolution_limitation:
text: resolution_limitation
description: Data granularity or resolution is insufficient for some uses. Level
of detail may not support fine-grained analysis or specific applications.
integration_limitation:
text: integration_limitation
description: Challenges in combining with other data sources. Incompatibilities
in formats, identifiers, or schemas that hinder data integration.