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
- NamedThing
- DatasetProperty
- FutureUseImpact
- DatasetProperty
Slots
Name | Cardinality and Range | Description | Inheritance |
---|---|---|---|
description | * 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 |
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
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
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