DFO Ecosystem Approach to Fisheries Management Science Methods Toolbox
A national Fisheries and Oceans Canada (DFO) Ecosystem Approach to Fisheries Management (EAFM) Working Group (WG) was established in 2018 to (1) advance the integration of climate, oceanographic and ecological variables into single-species stock assessment and advice to support the further implementation of EAFM; and (2) to identify practical steps to advance the longer-term goal of ecosystem-based fisheries management (EBFM) involving multispecies assessment and advice. To better understand the strengths and challenges of what is currently being done across DFO stock assessments and to provide guidance on how to incorporate environmental considerations throughout the data-to-decision process, the National WG established three sub-groups, one of which was directed to develop a compilation of existing Science methods used by DFO for incorporating ecosystem variables into stock assessments and other assessment-related research activities. This data set, called the EAFM Science Methods Toolbox, is the resulting product from the Toolbox sub-group. Note that the contents of the Toolbox are meant to serve as a starting point for researchers looking to incorporate ecosystem information into their stock assessment activities, and not intended to provide an exhaustive list of available analytical tools. Researchers are cautioned to make their own assessments regarding the suitability of any tools in the Toolbox to their particular research, as well as to investigate the possibility of other tools not presently included in the Toolbox (pre-existing or new). It is expected that the Toolbox will remain ‘evergreen’ with periodic updates to reflect emerging best practices, although the exact timing and process to conduct such updates has yet to be determined.
Datasets available for download
-
DFO Ecosystem Approach to Fisheries Management...XLSX
-
DFO Ecosystem Approach to Fisheries Management...XLSX
-
DFO Ecosystem Approach to Fisheries Management...CSV
-
DFO Ecosystem Approach to Fisheries Management...CSV
-
DFO Ecosystem Approach to Fisheries Management...CSV
-
DFO Ecosystem Approach to Fisheries Management...CSV
-
DFO Ecosystem Approach to Fisheries Management...CSV
-
DFO Ecosystem Approach to Fisheries Management...CSV
Additional Info
| Field | Value |
|---|---|
| Last Updated | October 20, 2025, 02:48 (UTC) |
| Created | October 20, 2025, 02:48 (UTC) |
|
Domain / Topic
Domain or topic of the dataset being cataloged.
|
Environment, Oceans |
|
Title
Title for the Dataset.
|
DFO Ecosystem Approach to Fisheries Management Science Methods Toolbox |
|
Description
A description of the dataset.
|
A national Fisheries and Oceans Canada (DFO) Ecosystem Approach to Fisheries Management (EAFM) Working Group (WG) was established in 2018 to (1) advance the integration of climate, oceanographic and ecological variables into single-species stock assessment and advice to support the further implementation of EAFM; and (2) to identify practical steps to advance the longer-term goal of ecosystem-based fisheries management (EBFM) involving multispecies assessment and advice. To better understand the strengths and challenges of what is currently being done across DFO stock assessments and to provide guidance on how to incorporate environmental considerations throughout the data-to-decision process, the National WG established three sub-groups, one of which was directed to develop a compilation of existing Science methods used by DFO for incorporating ecosystem variables into stock assessments and other assessment-related research activities. This data set, called the EAFM Science Methods Toolbox, is the resulting product from the Toolbox sub-group. Note that the contents of the Toolbox are meant to serve as a starting point for researchers looking to incorporate ecosystem information into their stock assessment activities, and not intended to provide an exhaustive list of available analytical tools. Researchers are cautioned to make their own assessments regarding the suitability of any tools in the Toolbox to their particular research, as well as to investigate the possibility of other tools not presently included in the Toolbox (pre-existing or new). It is expected that the Toolbox will remain ‘evergreen’ with periodic updates to reflect emerging best practices, although the exact timing and process to conduct such updates has yet to be determined. |
|
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.
|
2024-09-01 |
|
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/5c039538-7605-41f1-a9ba-c3cf82200334 |
|
Data Service
Data service for accessing a dataset.
|
|
|
Owner
Owner of the dataset.
|
Fisheries and Oceans Canada | Pêches et Océans 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.
|
|
|
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.
|
0 Comments