Grants

This page contains information about the Grants data source in the Dimensions BigQuery project.

See also

Dimensions DSL API Documentation for this type is also available from here.

Grants Schema

Field

Type

Description

Example

abstract

Literal: String

Abstract or summary from a grant proposal.

 
      "Autism Spectrum Disorder (ASD) is a neurodevelopmental communication disorder resulting in functional language and behavioral delays affecting over 3.5 million Americans. These delays vary with the severity of symptoms that present in ASD but often result in limited speech and increased communication challenges. Alongside linguistic acquisition, oral motor coordination is a crucial part of speech production. Current clinical techniques have shown varying degrees of efficacy in improving functional language proficiency. Most techniques follow a drill-like procedure, where the child is made to repeat various sounds and phrases until they are retained. However, such a process requires potentially over twenty therapy sessions to show improvement which may then only be focused on one aspect of speech. This significantly limits the linguistic and social skills a student will acquire. To improve the efficacy of these therapy sessions, new technology must be developed to provide the most effective educational experience. Video-assisted speech technology (VAST) is a method of using a video of a close-up model of the mouth and speaking simultaneously with it. Rather than present the individual with a static photograph of the initial phoneme, the entire sequence of oral movements can be presented sequentially via video-recorded segments of the orofacial area producing connected speech, combining best practices, video modeling, and literacy with auditory cues to provide unprecedented support the development of vocabulary, word combinations and communication. In this SBIR Phase I proposal, iTherapy will develop a personalized educational experience for students with ASD by creating a virtual reality (VR) based VAST program to stimulate engagement and speech production practice. VR offers several benefits as a therapy technique: overcoming sensory difficulties, more effectively generalizing information, employing visual learning, and providing individualized treatment. As a user moves through the stages of the program, they will be immersed in a proactive environment where they will engross themselves with continuous content. Rather than present the individual with a static photograph of the initial phoneme, the entire sequence of oral movements can be presented sequentially via VR-modelled segments of the orofacial area producing connected speech, combining best practices, video modeling, music therapy, and literacy with auditory cues to provide unprecedented support the development of vocabulary, word combinations and communication. The innovation will be a video series of a realistic VR mouth which will require the use of an app on a tablet or a smartphone, VR goggles, and bone conduction headphones. The incorporation of the VAST system into special education classrooms will help children with ASD to enhance their functional and social communicative abilities. The VR system will teach them various motor and word production skills which will grow their vocabulary, reading skills, understanding of speech, and functional language usage as a whole. By building upon standard therapy techniques, this product will provide those with ASD an opportunity to enhance their quality of life by increasing their speech abilities which will enable them to build social networks and handle the events of daily life."

active_years

Array of < Literal: Integer >

List of active years for a grant.

 
      [2019, 2020]

activity_code

Literal: String

The NIH activity code for the grant, as provided by the source.

categories

Entity: VersionedCategories

Versioned categorisations.

 
      {"bra_v1": {"values": ["Clinical Medicine and Science"], "full": [{"id": "4001", "value": "Clinical Medicine and Science"}]}, "for_v1": {"first_level": {"codes": ["13", "11", "17", "08", "20"], "full": [{"id": "2213", "code": "13", "name": "Education"}, {"id": "2211", "code": "11", "name": "Medical and Health Sciences"}, {"id": "2217", "code": "17", "name": "Psychology and Cognitive Sciences"}, {"id": "2208", "code": "08", "name": "Information and Computing Sciences"}, {"id": "2220", "code": "20", "name": "Language, Communication and Culture"}]}, "second_level": {"codes": ["1303", "1103", "1702", "0801", "2004", "1701"], "full": [{"id": "3268", "code": "1303", "name": "Specialist Studies In Education"}, {"id": "3053", "code": "1103", "name": "Clinical Sciences"}, {"id": "3484", "code": "1702", "name": "Cognitive Sciences"}, {"id": "2746", "code": "0801", "name": "Artificial Intelligence and Image Processing"}, {"id": "3616", "code": "2004", "name": "Linguistics"}, {"id": "3468", "code": "1701", "name": "Psychology"}]}}, "hra_v1": {"values": ["Clinical"], "full": [{"id": "3901", "value": "Clinical"}]}, "hrcs_hc_v1": {"values": ["Generic Health Relevance"], "full": [{"id": "890", "value": "Generic Health Relevance"}]}, "hrcs_rac_v1": {"codes": ["7.3", "4.1", "2.1", "2.2", "4.2"], "full": [{"id": "10703", "code": "7.3", "name": "Management and decision making"}, {"id": "10401", "code": "4.1", "name": "Discovery and preclinical testing of markers and technologies"}, {"id": "10201", "code": "2.1", "name": "Biological and endogenous factors"}, {"id": "10202", "code": "2.2", "name": "Factors relating to physical environment"}, {"id": "10402", "code": "4.2", "name": "Evaluation of markers and technologies"}]}, "icrp_cso_v1": {"codes": ["1.2", "1.5", "2.4", "4.4", "5.7", "6.9", "3.6"], "full": [{"id": "3747", "code": "1.2", "name": "Cancer Initiation: Alterations in Chromosomes"}, {"id": "3750", "code": "1.5", "name": "Resources and Infrastructure"}, {"id": "3754", "code": "2.4", "name": "Resources and Infrastructure Related to Etiology"}, {"id": "3764", "code": "4.4", "name": "Resources and Infrastructure Related to Detection, Diagnosis, or Prognosis"}, {"id": "3771", "code": "5.7", "name": "Resources and Infrastructure Related to Treatment and the prevention of recurrence"}, {"id": "3780", "code": "6.9", "name": "Resources and Infrastructure Related to Cancer Control, Survivorship, and Outcomes Research"}, {"id": "3760", "code": "3.6", "name": "Resources and Infrastructure Related to Prevention"}]}, "icrp_ct_v1": {"values": ["Head and Neck Cancer", "Myeloma", "Kidney Cancer", "Pancreatic Cancer", "Liver Cancer", "Ovarian Cancer", "Brain Tumor", "Melanoma", "Colon and Rectal Cancer", "Cervical Cancer", "Non-Hodgkin's Lymphoma", "Lung Cancer", "Leukemia / Leukaemia", "Breast Cancer", "Prostate Cancer", "Not Site-Specific Cancer"], "full": [{"id": "3802", "value": "Head and Neck Cancer"}, {"id": "3811", "value": "Myeloma"}, {"id": "3805", "value": "Kidney Cancer"}, {"id": "3819", "value": "Pancreatic Cancer"}, {"id": "3808", "value": "Liver Cancer"}, {"id": "3818", "value": "Ovarian Cancer"}, {"id": "3789", "value": "Brain Tumor"}, {"id": "3810", "value": "Melanoma"}, {"id": "3793", "value": "Colon and Rectal Cancer"}, {"id": "3792", "value": "Cervical Cancer"}, {"id": "3815", "value": "Non-Hodgkin's Lymphoma"}, {"id": "3809", "value": "Lung Cancer"}, {"id": "3807", "value": "Leukemia / Leukaemia"}, {"id": "3790", "value": "Breast Cancer"}, {"id": "3826", "value": "Prostate Cancer"}, {"id": "3816", "value": "Not Site-Specific Cancer"}]}, "rcdc_v1": {"values": ["Bioengineering", "Brain Disorders", "Clinical Research", "Networking and Information Technology R&D", "Mental Health", "Autism", "Behavioral and Social Science", "Dental/Oral and Craniofacial Disease", "Rehabilitation", "Intellectual and Developmental Disabilities (IDD)", "Basic Behavioral and Social Science", "Pediatric"], "full": [{"id": "337", "value": "Bioengineering"}, {"id": "501", "value": "Brain Disorders"}, {"id": "507", "value": "Clinical Research"}, {"id": "541", "value": "Networking and Information Technology R&D"}, {"id": "380", "value": "Mental Health"}, {"id": "310", "value": "Autism"}, {"id": "498", "value": "Behavioral and Social Science"}, {"id": "436", "value": "Dental/Oral and Craniofacial Disease"}, {"id": "469", "value": "Rehabilitation"}, {"id": "536", "value": "Intellectual and Developmental Disabilities (IDD)"}, {"id": "497", "value": "Basic Behavioral and Social Science"}, {"id": "547", "value": "Pediatric"}]}, "sdg_v1": {"codes": ["4"], "full": [{"id": "40004", "code": "4", "name": "Quality Education"}]}, "uoa_v1": {"codes": ["B11"], "full": [{"id": "30011", "code": "B11", "name": "Computer Science and Informatics"}]}}

category_bra

Entity: SimpleCategorization

Broad Research Areas

 
      {"values": ["Clinical Medicine and Science"], "full": [{"id": "4001", "value": "Clinical Medicine and Science"}]}

category_for

Entity: ComplexSystematicCategorization

ANZSRC Fields of Research classification

 
      {"first_level": {"codes": ["13", "11", "17", "08", "20"], "full": [{"id": "2213", "code": "13", "name": "Education"}, {"id": "2211", "code": "11", "name": "Medical and Health Sciences"}, {"id": "2217", "code": "17", "name": "Psychology and Cognitive Sciences"}, {"id": "2208", "code": "08", "name": "Information and Computing Sciences"}, {"id": "2220", "code": "20", "name": "Language, Communication and Culture"}]}, "second_level": {"codes": ["1303", "1103", "1702", "0801", "2004", "1701"], "full": [{"id": "3268", "code": "1303", "name": "Specialist Studies In Education"}, {"id": "3053", "code": "1103", "name": "Clinical Sciences"}, {"id": "3484", "code": "1702", "name": "Cognitive Sciences"}, {"id": "2746", "code": "0801", "name": "Artificial Intelligence and Image Processing"}, {"id": "3616", "code": "2004", "name": "Linguistics"}, {"id": "3468", "code": "1701", "name": "Psychology"}]}}

category_hra

Entity: SimpleCategorization

Health Research Areas

 
      {"values": ["Clinical"], "full": [{"id": "3901", "value": "Clinical"}]}

category_hrcs_hc

Entity: SimpleCategorization

HRCS - Health Categories

 
      {"values": ["Generic Health Relevance"], "full": [{"id": "890", "value": "Generic Health Relevance"}]}

category_hrcs_rac

Entity: SystematicCategorization

HRCS – Research Activity Codes

 
      {"codes": ["7.3", "4.1", "2.1", "2.2", "4.2"], "full": [{"id": "10703", "code": "7.3", "name": "Management and decision making"}, {"id": "10401", "code": "4.1", "name": "Discovery and preclinical testing of markers and technologies"}, {"id": "10201", "code": "2.1", "name": "Biological and endogenous factors"}, {"id": "10202", "code": "2.2", "name": "Factors relating to physical environment"}, {"id": "10402", "code": "4.2", "name": "Evaluation of markers and technologies"}]}

category_icrp_cso

Entity: SystematicCategorization

ICRP Common Scientific Outline

 
      {"codes": ["1.2", "1.5", "2.4", "4.4", "5.7", "6.9", "3.6"], "full": [{"id": "3747", "code": "1.2", "name": "Cancer Initiation: Alterations in Chromosomes"}, {"id": "3750", "code": "1.5", "name": "Resources and Infrastructure"}, {"id": "3754", "code": "2.4", "name": "Resources and Infrastructure Related to Etiology"}, {"id": "3764", "code": "4.4", "name": "Resources and Infrastructure Related to Detection, Diagnosis, or Prognosis"}, {"id": "3771", "code": "5.7", "name": "Resources and Infrastructure Related to Treatment and the prevention of recurrence"}, {"id": "3780", "code": "6.9", "name": "Resources and Infrastructure Related to Cancer Control, Survivorship, and Outcomes Research"}, {"id": "3760", "code": "3.6", "name": "Resources and Infrastructure Related to Prevention"}]}

category_icrp_ct

Entity: SimpleCategorization

ICRP Cancer Types

 
      {"values": ["Head and Neck Cancer", "Myeloma", "Kidney Cancer", "Pancreatic Cancer", "Liver Cancer", "Ovarian Cancer", "Brain Tumor", "Melanoma", "Colon and Rectal Cancer", "Cervical Cancer", "Non-Hodgkin's Lymphoma", "Lung Cancer", "Leukemia / Leukaemia", "Breast Cancer", "Prostate Cancer", "Not Site-Specific Cancer"], "full": [{"id": "3802", "value": "Head and Neck Cancer"}, {"id": "3811", "value": "Myeloma"}, {"id": "3805", "value": "Kidney Cancer"}, {"id": "3819", "value": "Pancreatic Cancer"}, {"id": "3808", "value": "Liver Cancer"}, {"id": "3818", "value": "Ovarian Cancer"}, {"id": "3789", "value": "Brain Tumor"}, {"id": "3810", "value": "Melanoma"}, {"id": "3793", "value": "Colon and Rectal Cancer"}, {"id": "3792", "value": "Cervical Cancer"}, {"id": "3815", "value": "Non-Hodgkin's Lymphoma"}, {"id": "3809", "value": "Lung Cancer"}, {"id": "3807", "value": "Leukemia / Leukaemia"}, {"id": "3790", "value": "Breast Cancer"}, {"id": "3826", "value": "Prostate Cancer"}, {"id": "3816", "value": "Not Site-Specific Cancer"}]}

category_rcdc

Entity: SimpleCategorization

Research, Condition, and Disease Categorization

 
      {"values": ["Bioengineering", "Brain Disorders", "Clinical Research", "Networking and Information Technology R&D", "Mental Health", "Autism", "Behavioral and Social Science", "Dental/Oral and Craniofacial Disease", "Rehabilitation", "Intellectual and Developmental Disabilities (IDD)", "Basic Behavioral and Social Science", "Pediatric"], "full": [{"id": "337", "value": "Bioengineering"}, {"id": "501", "value": "Brain Disorders"}, {"id": "507", "value": "Clinical Research"}, {"id": "541", "value": "Networking and Information Technology R&D"}, {"id": "380", "value": "Mental Health"}, {"id": "310", "value": "Autism"}, {"id": "498", "value": "Behavioral and Social Science"}, {"id": "436", "value": "Dental/Oral and Craniofacial Disease"}, {"id": "469", "value": "Rehabilitation"}, {"id": "536", "value": "Intellectual and Developmental Disabilities (IDD)"}, {"id": "497", "value": "Basic Behavioral and Social Science"}, {"id": "547", "value": "Pediatric"}]}

category_sdg

Entity: SystematicCategorization

SDG - Sustainable Development Goals

 
      {"codes": ["4"], "full": [{"id": "40004", "code": "4", "name": "Quality Education"}]}

category_uoa

Entity: SystematicCategorization

Units of Assessment

 
      {"codes": ["B11"], "full": [{"id": "30011", "code": "B11", "name": "Computer Science and Informatics"}]}

concepts

Array of < Entity: Concept >

Concepts describing the main topics of a grant (note: automatically derived from the grant text using machine learning).

 
      [{"concept": "aquatic ecosystems", "relevance": "0.6885136194"}, {"concept": "ecosystems", "relevance": "0.539409772"}, {"concept": "River", "relevance": "0.5234377488"}, {"concept": "estuary", "relevance": "0.5229886813"}, {"concept": "lakes", "relevance": "0.5096869972"}, {"concept": "Ocean", "relevance": "0.4606268064"}, {"concept": "Europe", "relevance": "0.4437456311"}, {"concept": "network", "relevance": "0.2542425457"}]

date_imported_gbq

Literal: Timestamp

Timestamp when the grant was last imported into BigQuery. Incremental changes can be determined using this field. Note, however at certain times during the year all records may be reimported.

 
      "2020-08-07 03:00:04 UTC"

date_inserted

Literal: Timestamp

Date when the record was inserted into Dimensions.

 
      "2019-12-23 16:23:08 UTC"

end_date

Literal: String

Date when the grant ends.

 
      "2020-11-30"

end_year

Literal: Integer

Year when the grant ends.

 
      2020

foa_number

Literal: String

The funding opportunity announcement (FOA) number, where available e.g. for grants from the US National Institute of Health (NIH) or from the National Science Foundation (NSF).

 
      "PA-18-573"

funder_org

Literal: String

Clustering field

The organisation funding the grant. This is normally a GRID organisation, but in very few cases a Dimensions funder ID is used.

 
      "grid.214431.1"

funder_org_acronyms

Array of < Literal: String >

List of acronyms for the funding organisation.

 
      ["MTA"]

funder_org_cities

Array of < Literal: Integer >

List of cities linked to the organisation funding the grant, expressed as GeoNames codes.

 
      [4140963]

funder_org_countries

Array of < Literal: String >

List of countries linked to the organisation funding the grant, expressed as GeoNames codes.

 
      ["US"]

funder_org_state_codes

Array of < Literal: String >

List of state codes linked to the organisation funding the grant, expressed as GeoName codes (ISO‌-3166-2).

 
      ["US-DC"]

funding_amount

Literal: Float

Funding amount awarded in original funding currency.

 
      224789.0

funding_aud

Literal: Float

Funding amount awarded in AUD.

 
      323384.0

funding_cad

Literal: Float

Funding amount awarded in CAD.

 
      298244.0

funding_chf

Literal: Float

Funding amount awarded in CHF.

 
      223359.0

funding_cny

Literal: Float

Funding amount awarded in CNY.

 
      341281.0

funding_currency

Literal: String

Clustering field

Original funding currency.

 
      "USD"

funding_eur

Literal: Float

Funding amount awarded in EUR.

 
      200811.0

funding_gbp

Literal: Float

Funding amount awarded in GBP.

 
      176145.0

funding_jpy

Literal: Float

Funding amount awarded in JPY.

 
      24503712.0

funding_nzd

Literal: Float

Funding amount awarded in NZD.

 
      341281.0

funding_schemes

Array of < Entity: FundingScheme >

Funding schemes as provided by the source.

funding_usd

Literal: Float

Funding amount awarded in USD.

 
      224789.0

id

Literal: String

Clustering field

Dimensions grant ID.

 
      "grant.8684488"

investigators

Array of < Entity: Investigator >

List of details about investigators, including affiliations and roles e.g. ‘PI’ or ‘Co-PI’.

 
      [{"first_name": "ANN R", "last_name": "FALSEY", "researcher_id": "ur.01043332213.09", "role": "PI", "affiliations": [{"affiliation": "UNIVERSITY OF ROCHESTER", "grid_ids": ["grid.16416.34"], "cities": [5134086], "countries_territories": ["US"], "states": ["US-NY"]}]}, {"first_name": "THOMAS J", "last_name": "MARIANI", "researcher_id": "ur.0606724104.49", "role": "Co-PI", "affiliations": []}]

keywords

Array of < Entity: Keyword >

Additional keywords as provided by the source.

language

Literal: String

Grant original language, as ISO 639-1 language codes.

 
      "de"

linkout

Literal: String

Original URL for the grant.

 
      "http://projectreporter.nih.gov/project_info_description.cfm?aid=9909229"

organisation_details

Array of < Entity: OrganisationDetail >

List of details regarding organisations receiving the grant. The original raw affiliation data in provided, even in cases where the organization was successfully mapped to a GRID identifier.

 
      [{"name": "University of Rochester", "city": "Rochester", "country": "United States", "grid_id": "grid.16416.34"}]

original_abstract

Entity: OriginalValue

Abstract of the grant in its original language.

 
      {"value": "Das Ziel des Heisenberg-Programms ist es, herausragenden Wissenschaftlerinnen und Wissenschaftlern, die alle Voraussetzungen f\u00fcr die Berufung auf eine Langzeit-Professur erf\u00fcllen, zu erm\u00f6glichen, sich auf eine wissenschaftliche Leitungsfunktion vorzubereiten und in dieser Zeit weiterf\u00fchrende Forschungsthemen zu bearbeiten. In der Verfolgung dieses Ziels m\u00fcssen nicht immer projektf\u00f6rmige Vorgehensweisen gew\u00e4hlt und realisiert werden. Aus diesem Grunde wird bei der Antragstellung und auch sp\u00e4ter bei der Abfassung von Abschlussberichten - anders als bei anderen F\u00f6rderinstrumenten - keine \"Zusammenfassung\" von Projektbeschreibungen und Projektergebnissen verlangt. Somit werden solche Informationen auch in GEPRIS nicht zur Verf\u00fcgung gestellt.", "language": "de"}

original_title

Entity: OriginalValue

Title of the grant in its original language.

 
      {"value": "Stable isotope fractionation in high-temperature systems: an experimental approach", "language": "en"}

project_numbers

Array of < Entity: ProjectNumber >

Grant identifiers, as provided by the source (e.g., funder, aggregator) the grant was derived from.

research_org_cities

Array of < Literal: Integer >

List of cities of the research organisations receiving the grant, expressed as GeoNames identifiers.

 
      [4929023, 4846834, 1850147]

research_org_countries

Array of < Literal: String >

List of countries of the research organisations receiving the grant, expressed as GeoName codes.

 
      ["US", "JP"]

research_org_state_codes

Array of < Literal: String >

List of state codes of the organisations receiving the grant, expressed as GeoName codes (ISO‌-3166-2).

 
      ["US-IA", "US-MA"]

research_orgs

Array of < Literal: String >

List of GRID organisations receiving the grant (note: identifiers are automatically extracted from the source text and can be missing in some cases).

 
      ["grid.16416.34"]

researcher_ids

Array of < Literal: String >

List of Dimensions researchers IDs associated to the grant.

 
      ["ur.01043332213.09", "ur.0606724104.49"]

resulting_publication_ids

Array of < Literal: String >

List of Dimension publication IDs that have been supported by this grant.

 
      ["pub.1123730079", "pub.1013958995", "pub.1060627972", "pub.1007625635", "pub.1013386159", "pub.1038513647", "pub.1015912955", "pub.1011001476", "pub.1039391932", "pub.1015795591", "pub.1012186065", "pub.1000532258", "pub.1028741704"]

start_date

Literal: String

Date when the grant starts, in the format ‘YYYY-MM-DD’.

 
      "2019-12-01"

start_year

Literal: Integer

Partitioning field

Year when the grant starts.

 
      2019

title

Literal: String

Title of the grant in English (if the grant language is not English, this field contains a translation of the title).

 
      "Video Assisted Speech Technology to enhance functional language abilities in individuals with Autism Spectrum Disorder"

Auxiliary Entities

Affiliation

Field

Type

Description

affiliation

Literal: String

The raw affiliation string as seen on the source type.

cities

Array of < Literal: Integer >

The cities identified in the affiliation, as geoname IDs.

countries_territories

Array of < Literal: String >

The country/territories identified in the affiliation, as ISO-3166 alpha-2 codes.

grid_ids

Array of < Literal: String >

The assigned GRID IDs based on this affiliation.

states

Array of < Literal: String >

The states/regions identified in the affiliation, as ISO 3166-2 codes.

ComplexSystematicCategorization

Field

Type

Description

first_level

Entity: SystematicCategoryLevel

First level of categorisation within the classification scheme.

second_level

Entity: SystematicCategoryLevel

Second level of categorisation within the classification scheme.

Concept

Field

Type

Description

concept

Literal: String

Normalized noun phrase describing a main topic within the document. Automatically derived using machine learning techniques.

relevance

Literal: Float

Relevance ranking of the normalized noun phrase within the document’s field of study.

FundingScheme

Field

Type

Description

label

Literal: String

value

Literal: String

Investigator

Field

Type

Description

affiliations

Array of < Entity: Affiliation >

Affiliation details associated with the grantee.

first_name

Literal: String

last_name

Literal: String

researcher_id

Literal: String

The Dimensions assigned researcher ID.

role

Literal: String

Role of the researcher: PI or Co-PI.

Keyword

Field

Type

Description

label

Literal: String

value

Literal: String

OrganisationDetail

Field

Type

Description

city

Literal: String

City of the research organisation receiving the grant (note: the non-standardardised original city affiliation information is provided).

country

Literal: String

Country of the research organisation receiving the grant (note: the non-standardardised original country affiliation information is provided).

grid_id

Literal: String

name

Literal: String

OriginalValue

Field

Type

Description

language

Literal: String

value

Literal: String

ProjectNumber

Field

Type

Description

label

Literal: String

value

Literal: String

SimpleCategorization

Field

Type

Description

full

Array of < Entity: SimpleCategory >

A complete listing of category values, assigned to this particular record, including the unique Dimensions identifier associated with each catergory value.

values

Array of < Literal: String >

Listing of all catergory values assigned to this particular record.

SimpleCategory

Field

Type

Description

id

Literal: String

Dimensions specific identifier assigned to the category value.

value

Literal: String

Category value associated with the simple classification scheme.

SystematicCategorization

Field

Type

Description

codes

Array of < Literal: String >

Listing of all catergory specific codes assigned to this particular record.

full

Array of < Entity: SystematicCategory >

A complete listing of category values, assigned to this particular record, including the unique Dimensions identifier associated with each catergory value.

SystematicCategory

Field

Type

Description

code

Literal: String

Numeric or non-numeric category value code. Value is classification scheme specific.

id

Literal: String

Dimensions specific identifier assigned to the category value.

name

Literal: String

Individual category value description, excluding the classification scheme specific code prefix.

SystematicCategoryLevel

Field

Type

Description

codes

Array of < Literal: String >

A consolidated list of all category-specific codes at a particular classification level, assigned to this record.

full

Array of < Entity: SystematicCategory >

A listing of category values at a specific classification level, assigned to this particular record, including the unique Dimensions identifier associated with each category value.

VersionedCategories

Field

Type

Description

bra_v2020

Entity: SimpleCategorization

for_2020_v2022

Entity: ComplexSystematicCategorization

hra_v1

Entity: SimpleCategorization

hrcs_hc_v2020

Entity: SimpleCategorization

hrcs_rac_v2020

Entity: SystematicCategorization

icrp_cso_v2020

Entity: SystematicCategorization

icrp_ct_v2020

Entity: SimpleCategorization

rcdc_v2023

Entity: SimpleCategorization

sdg_v2021

Entity: SystematicCategorization

uoa_v1

Entity: SystematicCategorization

uoa_v2023

Entity: SystematicCategorization

deprecated bra_v1

Entity: SimpleCategorization

Deprecated in favor of: bra_v2020

deprecated for_v1

Entity: ComplexSystematicCategorization

Deprecated in favor of: for_2020_v2022

deprecated for_v2020

Entity: ComplexSystematicCategorization

Deprecated in favor of: for_2020_v2022

deprecated hrcs_hc_v1

Entity: SimpleCategorization

Deprecated in favor of: hrcs_hc_v2020

deprecated hrcs_rac_v1

Entity: SystematicCategorization

Deprecated in favor of: hrcs_rac_v2020

deprecated icrp_cso_v1

Entity: SystematicCategorization

Deprecated in favor of: icrp_cso_v2020

deprecated icrp_ct_v1

Entity: SimpleCategorization

Deprecated in favor of: icrp_ct_v2020

deprecated rcdc_v1

Entity: SimpleCategorization

Deprecated in favor of: category_rcdc

deprecated sdg_v1

Entity: SystematicCategorization

Deprecated in favor of: sdg_v2021

Grants Deprecations

This section lists fields that have been deprecated and should no longer be used within queries. In time, deprecated fields will be removed from the data source’s corresponding schema in BigQuery.

Deprecated Fields

Field

Type

Description

grant_number

Literal: String

Deprecated in favor of: project_numbers