Class: Subpopulation
Does the dataset identify any subpopulations (e.g., by age, gender)? If so, please describe how these subpopulations are identified and provide a description of their respective distributions within the dataset.
URI: data_sheets_schema:Subpopulation
erDiagram
Subpopulation {
stringList identification
stringList distribution
string id
string name
string description
}
Software {
string version
string license
string url
string id
string name
string description
}
Subpopulation ||--}o Software : "used_software"
Inheritance
- NamedThing
- DatasetProperty
- Subpopulation
- DatasetProperty
Slots
Name | Cardinality and Range | Description | Inheritance |
---|---|---|---|
identification | * String |
direct | |
distribution | * String |
direct | |
used_software | * Software |
What software was used as part of this dataset property? | DatasetProperty |
id | 1 String |
the unique name of the dataset | NamedThing |
name | 0..1 String |
NamedThing | |
description | 0..1 String |
human readable description of the information | NamedThing |
Usages
used by | used in | type | used |
---|---|---|---|
Dataset | subpopulations | range | Subpopulation |
DataSubset | subpopulations | range | Subpopulation |
Identifier and Mapping Information
Schema Source
- from schema: https://w3id.org/bridge2ai/data-sheets-schema
Mappings
Mapping Type | Mapped Value |
---|---|
self | data_sheets_schema:Subpopulation |
native | data_sheets_schema:Subpopulation |
LinkML Source
Direct
name: Subpopulation
description: Does the dataset identify any subpopulations (e.g., by age, gender)?
If so, please describe how these subpopulations are identified and provide a description
of their respective distributions within the dataset.
in_subset:
- Composition
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
is_a: DatasetProperty
attributes:
identification:
name: identification
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
multivalued: true
domain_of:
- Subpopulation
range: string
distribution:
name: distribution
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
multivalued: true
domain_of:
- Subpopulation
range: string
Induced
name: Subpopulation
description: Does the dataset identify any subpopulations (e.g., by age, gender)?
If so, please describe how these subpopulations are identified and provide a description
of their respective distributions within the dataset.
in_subset:
- Composition
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
is_a: DatasetProperty
attributes:
identification:
name: identification
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
multivalued: true
alias: identification
owner: Subpopulation
domain_of:
- Subpopulation
range: string
distribution:
name: distribution
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
multivalued: true
alias: distribution
owner: Subpopulation
domain_of:
- Subpopulation
range: string
used_software:
name: used_software
description: What software was used as part of this dataset property?
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
multivalued: true
alias: used_software
owner: Subpopulation
domain_of:
- DatasetProperty
range: Software
id:
name: id
description: the unique name of the dataset
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
exact_mappings:
- schema:name
rank: 1000
slot_uri: dcterms:identifier
identifier: true
alias: id
owner: Subpopulation
domain_of:
- NamedThing
- Information
range: string
required: true
name:
name: name
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
slot_uri: schema:name
alias: name
owner: Subpopulation
domain_of:
- NamedThing
range: string
description:
name: description
description: human readable description of the information
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
slot_uri: dcterms:description
alias: description
owner: Subpopulation
domain_of:
- NamedThing
- Information
- Relationships
- Splits
- DataAnomaly
- Confidentiality
- Deidentification
- SensitiveElement
- InstanceAcquisition
- CollectionMechanism
- DataCollector
- CollectionTimeframe
- EthicalReview
- DirectCollection
- CollectionNotification
- CollectionConsent
- ConsentRevocation
- DataProtectionImpact
- PreprocessingStrategy
- CleaningStrategy
- LabelingStrategy
- RawData
- ExistingUse
- UseRepository
- OtherTask
- FutureUseImpact
- DiscouragedUse
- ThirdPartySharing
- DistributionFormat
- DistributionDate
- LicenseAndUseTerms
- IPRestrictions
- ExportControlRegulatoryRestrictions
- Maintainer
- Erratum
- UpdatePlan
- RetentionLimits
- VersionAccess
- ExtensionMechanism
range: string