Class: DimensionalObservation

A structured object that describes a single data item about the physical dimensions of an entity (e.g. length width, area), as generated through a point-in-time observation or measurement.

URI: bdchm:DimensionalObservation

classDiagram class DimensionalObservation Entity <|-- DimensionalObservation DimensionalObservation : category DimensionalObservation : id DimensionalObservation : method_type DimensionalObservation : observation_type DimensionalObservation : value_quantity DimensionalObservation --> Quantity : value_quantity

Inheritance

Entity
- DimensionalObservation

Slots

Name	Cardinality and Range	Description	Inheritance
category	0..1 String	The general category of observation described	direct
observation_type	1..1 String	The specific type of observation made - i	direct
method_type	0..* String	A type of method used in generating the Observation result	direct
value_quantity	1..1 Quantity	The result of the observation, encoded as a free-text Quantity	direct
id	1..1 Uriorcurie	The 'logical' identifier of the entity within the system of record	Entity

Usages

used by	used in	type	used
DimensionalObservationSet	observations	range	DimensionalObservation

Comments

At the core of an Observation is a flexible key-value pair (or a structured collection of key-value pairs), where a 'key' field defines the type of observation made, and the 'value' field describes the value or outcome of the observation. The fact that the type of observation captured is defined in the data allow Observation to convey a broad range of observation data.

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/nhlbidatastage/bdchm

Mappings

Mapping Type	Mapped Value
self	bdchm:DimensionalObservation
native	bdchm:DimensionalObservation

LinkML Source

Direct

name: DimensionalObservation
description: A structured object that describes a single data item about the physical
  dimensions  of an entity (e.g. length width, area), as generated through a point-in-time
  observation or measurement.
comments:
- At the core of an Observation is a flexible key-value pair (or a structured collection
  of key-value pairs), where a 'key' field defines the type of observation made, and
  the 'value' field describes the value or outcome of the observation. The fact that
  the type of observation captured is defined in the data allow Observation to convey
  a broad range of observation data.
from_schema: https://w3id.org/nhlbidatastage/bdchm
is_a: Entity
attributes:
  category:
    name: category
    description: The general category of observation described
    comments:
    - Use only if we don't define named subtypes of Observation for specific categories.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    values_from:
    - crdch:enum_CRDCH_DimensionalObservation_category
    multivalued: false
    range: string
    required: false
  observation_type:
    name: observation_type
    description: The specific type of observation made - i.e. the feature or characteristic
      that was observed, measured, estimated, etc.
    comments:
    - This field holds the 'key' in the core key-value pair comprised of the observation_type
      field and the relevant value(s) field.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    values_from:
    - crdch:enum_CRDCH_DimensionalObservation_observation_type
    multivalued: false
    range: string
    required: true
  method_type:
    name: method_type
    description: A type of method used in generating the Observation result.
    comments:
    - This may be a type of observational, measurement, experimental, or computational
      method specifying how to generate data (e.g. 'manual counting', 'bright field
      microscopy',). Or a Guideline or SOP specifying how to interpret data and/or
      encode the result of an  Observation (e.g. a Cancer Staging system such as that
      defined by the AJCC, or variant interpretation guideline such as that provided
      by the ACMG).
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    values_from:
    - crdch:enum_CRDCH_DimensionalObservation_method_type
    multivalued: true
    range: string
    required: false
  value_quantity:
    name: value_quantity
    description: The result of the observation, encoded as a free-text Quantity.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    multivalued: false
    range: Quantity
    required: true

Induced

name: DimensionalObservation
description: A structured object that describes a single data item about the physical
  dimensions  of an entity (e.g. length width, area), as generated through a point-in-time
  observation or measurement.
comments:
- At the core of an Observation is a flexible key-value pair (or a structured collection
  of key-value pairs), where a 'key' field defines the type of observation made, and
  the 'value' field describes the value or outcome of the observation. The fact that
  the type of observation captured is defined in the data allow Observation to convey
  a broad range of observation data.
from_schema: https://w3id.org/nhlbidatastage/bdchm
is_a: Entity
attributes:
  category:
    name: category
    description: The general category of observation described
    comments:
    - Use only if we don't define named subtypes of Observation for specific categories.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    values_from:
    - crdch:enum_CRDCH_DimensionalObservation_category
    multivalued: false
    alias: category
    owner: DimensionalObservation
    domain_of:
    - DimensionalObservation
    - DimensionalObservationSet
    range: string
    required: false
  observation_type:
    name: observation_type
    description: The specific type of observation made - i.e. the feature or characteristic
      that was observed, measured, estimated, etc.
    comments:
    - This field holds the 'key' in the core key-value pair comprised of the observation_type
      field and the relevant value(s) field.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    values_from:
    - crdch:enum_CRDCH_DimensionalObservation_observation_type
    multivalued: false
    alias: observation_type
    owner: DimensionalObservation
    domain_of:
    - DimensionalObservation
    - SpecimenQualityObservation
    - SpecimenQuantityObservation
    range: string
    required: true
  method_type:
    name: method_type
    description: A type of method used in generating the Observation result.
    comments:
    - This may be a type of observational, measurement, experimental, or computational
      method specifying how to generate data (e.g. 'manual counting', 'bright field
      microscopy',). Or a Guideline or SOP specifying how to interpret data and/or
      encode the result of an  Observation (e.g. a Cancer Staging system such as that
      defined by the AJCC, or variant interpretation guideline such as that provided
      by the ACMG).
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    values_from:
    - crdch:enum_CRDCH_DimensionalObservation_method_type
    multivalued: true
    alias: method_type
    owner: DimensionalObservation
    domain_of:
    - DimensionalObservation
    - DimensionalObservationSet
    - SpecimenQualityObservation
    - SpecimenQuantityObservation
    - SpecimenProcessingActivity
    - SpecimenStorageActivity
    range: string
    required: false
  value_quantity:
    name: value_quantity
    description: The result of the observation, encoded as a free-text Quantity.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    multivalued: false
    alias: value_quantity
    owner: DimensionalObservation
    domain_of:
    - DimensionalObservation
    - SpecimenQualityObservation
    - SpecimenQuantityObservation
    range: Quantity
    required: true
  id:
    name: id
    description: The 'logical' identifier of the entity within the system of record.  The
      simple value of this attribute stands for an identifier of this data object
      within the system, it can be used as a reference from other objects within the
      same system (i.e. primary and foreign keys), and it should be unique per type
      of object. The same data object copied to a different system will likely have
      a different "id" in the new system since "id" values are system specific and
      do not represent persistent business identifiers. Business identifiers are assigned
      outside the information system and are captured in the "identifier" field. The
      "id" field is more likely to be a serially or randomly generated value that
      is assigned to the data object as it is created in a system.
    from_schema: https://w3id.org/nhlbidatastage/bdchm
    rank: 1000
    slot_uri: schema:identifier
    identifier: true
    alias: id
    owner: DimensionalObservation
    domain_of:
    - Entity
    range: uriorcurie
    required: true