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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

Slots

Name Cardinality and Range Description Inheritance
identification 0..*
String
direct
distribution 0..*
String
direct
used_software 0..*
Software
What software was used as part of this dataset property? DatasetProperty
id 1..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
    range: string
  distribution:
    name: distribution
    from_schema: https://w3id.org/bridge2ai/data-sheets-schema
    rank: 1000
    multivalued: true
    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