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Class: FutureUseImpact

Is there anything about the composition of the dataset or the way it was collected and preprocessed/cleaned/labeled that might impact future uses? For example, is there anything that a dataset consumer might need to know to avoid uses that could result in unfair treatment of individuals or groups (e.g., stereotyping, quality of service issues) or other risks or harms (e.g., legal risks, financial harms)? If so, please provide a description. Is there anything a dataset consumer could do to mitigate these risks or harms?

URI: data_sheets_schema:FutureUseImpact

erDiagram FutureUseImpact { stringList description string id string name } Software { string version string license string url string id string name string description } FutureUseImpact ||--}o Software : "used_software"

Inheritance

Slots

Name Cardinality and Range Description Inheritance
description 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

Usages

used by used in type used
Dataset future_use_impacts range FutureUseImpact
DataSubset future_use_impacts range FutureUseImpact

Identifier and Mapping Information

Schema Source

  • from schema: https://w3id.org/bridge2ai/data-sheets-schema

Mappings

Mapping Type Mapped Value
self data_sheets_schema:FutureUseImpact
native data_sheets_schema:FutureUseImpact

LinkML Source

Direct

name: FutureUseImpact
description: Is there anything about the composition of the dataset or the way it
  was collected and preprocessed/cleaned/labeled that might impact future uses? For
  example, is there anything that a dataset consumer might need to know to avoid uses
  that could result in unfair treatment of individuals or groups (e.g., stereotyping,
  quality of service issues) or other risks or harms (e.g., legal risks, financial
  harms)? If so, please provide a description. Is there anything a dataset consumer
  could do to mitigate these risks or harms?
in_subset:
- Uses
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
is_a: DatasetProperty
attributes:
  description:
    name: description
    from_schema: https://w3id.org/bridge2ai/data-sheets-schema
    multivalued: true
    range: string

Induced

name: FutureUseImpact
description: Is there anything about the composition of the dataset or the way it
  was collected and preprocessed/cleaned/labeled that might impact future uses? For
  example, is there anything that a dataset consumer might need to know to avoid uses
  that could result in unfair treatment of individuals or groups (e.g., stereotyping,
  quality of service issues) or other risks or harms (e.g., legal risks, financial
  harms)? If so, please provide a description. Is there anything a dataset consumer
  could do to mitigate these risks or harms?
in_subset:
- Uses
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
is_a: DatasetProperty
attributes:
  description:
    name: description
    from_schema: https://w3id.org/bridge2ai/data-sheets-schema
    multivalued: true
    alias: description
    owner: FutureUseImpact
    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
  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: FutureUseImpact
    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: FutureUseImpact
    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: FutureUseImpact
    domain_of:
    - NamedThing
    range: string