CIHR Grants and Awards

The datasets found below contain information regarding investments in health research made by the Canadian Institutes of Health Research (CIHR) for projects that received funding within specified time periods (fiscal year or quarters within) since the 2000-2001 fiscal year. Fiscal years at CIHR run from April 1st to March 31st. Please note that much of the information in the files below is provided in the language in which it was submitted by the researcher.

Significant changes to the way information is reported on this page were made in September 2024 and are applicable to all files published henceforth. Changes were made to improve the user experience and increase data accessibility. A more robust and informative metadata file was introduced as well as additional data fields. There is now one amalgamated file provided per fiscal year, organized into the following five tabs:

Grants & Awards - This dataset contains general information about the funded projects. There is one row per project with the exception of situations when information pertaining to that project (e.g. the nominated principal investigator, the institution receiving funds) changes within a fiscal year.

Research Team (formerly “Co-Applicants”) - This dataset contains information about the investigators on funded projects and their affiliations. There is one row per investigator, and multiple investigators can exist per project.

Partners - This dataset contains information about the partners (both applicant-level partners and CIHR competition-level partners) aligned with a funded project. There is one row per partner and multiple partners can exist per project.

Research Categories [NEW] - This dataset contains information about the various research area classifications that applicants can identify their projects as relevant to. There is one row per research area and there are usually multiple research areas listed per project.

Institutions [NEW] - This dataset contains further information about the institutions linked to the projects identified in the other tabs.

The file mentioned above is now updated on a quarterly basis, as opposed to annually:

Quarter 1 update – Dataset contains information regarding projects that received funding between April 1st and June 30th (quarter 1).

Quarter 2 update – Dataset contains information regarding projects that received funding between April 1st and September 30th (quarters 1 and 2).

Quarter 3 update – Dataset contains information regarding projects that received funding between April 1st and December 31st (quarters 1, 2 and 3).

Quarter 4 update [entire fiscal year] – Dataset contains information regarding projects that received funding between April 1st and March 31st (quarters 1, 2, 3 and 4).

Each update will replace the previous quarterly dataset to include data associated with all projects that received funding up to and including the most recent quarter. For example, the quarter 3 update will include all previous information provided in the quarter 1 and 2 updates, as well as new information for quarter 3. The full fiscal year file – provided following the close of the fiscal year – will replace the quarterly file for that year and will contain information for the entire April 1st to March 31st fiscal period. The quarter 4 dataset is considered final for reporting purposes.

The 60+ files published prior to September 2024 no longer appear on this page. However, the data are available in the previous format (e.g. with the old field names), but collapsed to amalgamate all fiscal years from 2000-01 to 2022-23 into one large dataset with three tabs (Grants & Awards, Co-Applicants, Partners). This file contains the word “ARCHIVE” in its name and is found at the bottom of this page. The individual fiscal year files have also been recreated in alignment with the new format and are available below for continuity of reporting purposes.

The individual fiscal year files can be joined using the FundingReferenceNumber_NumeroReferenceFinancement, which now serves as the unique identifier for all funded projects. The former unique identifier (Key-Clé) provided in the archived datasets will remain present for continuity, as required. Note that this field is now called FundingCode_CodeFinancement. Any project that appeared in the archived datasets – and therefore had a Funding Code generated – will carry that key forward to all future datasets in which they appear. New projects will not contain the former Funding Code field, and only the FundingReferenceNumber_NumeroReferenceFinancement will be included. The FundingCode_CodeFinancement field will be retired once funding for projects with a Funding Code has ended.

The datasets are encoded in Latin-1. This was chosen to allow proper display of French accents in Microsoft Windows programs (e.g. Excel). On other operating systems, the encoding may need to be specified as Latin-1 for the files to be read properly.

Grant: Support for the direct costs of research projects including for the training of researchers and/or activities that support the translation of research findings, conducted by either an investigator working alone or by a group of investigators working together.

Award: Generally intended as direct salary support to individual research personnel or stipend support to individual research trainees. Occasionally awards can carry funding intended for use on research expenditures (e.g. Canada Research Chair awards).

Datasets available for download

Additional Info

Field Value
Last Updated October 20, 2025, 02:28 (UTC)
Created October 20, 2025, 02:28 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
CIHR Grants and Awards
Description
A description of the dataset.

The datasets found below contain information regarding investments in health research made by the Canadian Institutes of Health Research (CIHR) for projects that received funding within specified time periods (fiscal year or quarters within) since the 2000-2001 fiscal year. Fiscal years at CIHR run from April 1st to March 31st. Please note that much of the information in the files below is provided in the language in which it was submitted by the researcher.

Significant changes to the way information is reported on this page were made in September 2024 and are applicable to all files published henceforth. Changes were made to improve the user experience and increase data accessibility. A more robust and informative metadata file was introduced as well as additional data fields. There is now one amalgamated file provided per fiscal year, organized into the following five tabs:

Grants & Awards - This dataset contains general information about the funded projects. There is one row per project with the exception of situations when information pertaining to that project (e.g. the nominated principal investigator, the institution receiving funds) changes within a fiscal year.

Research Team (formerly “Co-Applicants”) - This dataset contains information about the investigators on funded projects and their affiliations. There is one row per investigator, and multiple investigators can exist per project.

Partners - This dataset contains information about the partners (both applicant-level partners and CIHR competition-level partners) aligned with a funded project. There is one row per partner and multiple partners can exist per project.

Research Categories [NEW] - This dataset contains information about the various research area classifications that applicants can identify their projects as relevant to. There is one row per research area and there are usually multiple research areas listed per project.

Institutions [NEW] - This dataset contains further information about the institutions linked to the projects identified in the other tabs.

The file mentioned above is now updated on a quarterly basis, as opposed to annually:

Quarter 1 update – Dataset contains information regarding projects that received funding between April 1st and June 30th (quarter 1).

Quarter 2 update – Dataset contains information regarding projects that received funding between April 1st and September 30th (quarters 1 and 2).

Quarter 3 update – Dataset contains information regarding projects that received funding between April 1st and December 31st (quarters 1, 2 and 3).

Quarter 4 update [entire fiscal year] – Dataset contains information regarding projects that received funding between April 1st and March 31st (quarters 1, 2, 3 and 4).

Each update will replace the previous quarterly dataset to include data associated with all projects that received funding up to and including the most recent quarter. For example, the quarter 3 update will include all previous information provided in the quarter 1 and 2 updates, as well as new information for quarter 3. The full fiscal year file – provided following the close of the fiscal year – will replace the quarterly file for that year and will contain information for the entire April 1st to March 31st fiscal period. The quarter 4 dataset is considered final for reporting purposes.

The 60+ files published prior to September 2024 no longer appear on this page. However, the data are available in the previous format (e.g. with the old field names), but collapsed to amalgamate all fiscal years from 2000-01 to 2022-23 into one large dataset with three tabs (Grants & Awards, Co-Applicants, Partners). This file contains the word “ARCHIVE” in its name and is found at the bottom of this page. The individual fiscal year files have also been recreated in alignment with the new format and are available below for continuity of reporting purposes.

The individual fiscal year files can be joined using the FundingReferenceNumber_NumeroReferenceFinancement, which now serves as the unique identifier for all funded projects. The former unique identifier (Key-Clé) provided in the archived datasets will remain present for continuity, as required. Note that this field is now called FundingCode_CodeFinancement. Any project that appeared in the archived datasets – and therefore had a Funding Code generated – will carry that key forward to all future datasets in which they appear. New projects will not contain the former Funding Code field, and only the FundingReferenceNumber_NumeroReferenceFinancement will be included. The FundingCode_CodeFinancement field will be retired once funding for projects with a Funding Code has ended.

The datasets are encoded in Latin-1. This was chosen to allow proper display of French accents in Microsoft Windows programs (e.g. Excel). On other operating systems, the encoding may need to be specified as Latin-1 for the files to be read properly.

Grant: Support for the direct costs of research projects including for the training of researchers and/or activities that support the translation of research findings, conducted by either an investigator working alone or by a group of investigators working together.

Award: Generally intended as direct salary support to individual research personnel or stipend support to individual research trainees. Occasionally awards can carry funding intended for use on research expenditures (e.g. Canada Research Chair awards).

Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2021-06-08
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
License
License used to access the dataset.
Open Government Licence - Canada
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.canada.ca/data/en/dataset/49edb1d7-5cb4-4fa7-897c-515d1aad5da3
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Canadian Institutes of Health Research | Instituts de recherche en santé du Canada
Contact Point
Who to contact regarding access?
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
[email protected]
Author
Author of the dataset.
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

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