(PART) Training materials
GFW Data Training Materials
https://docs.google.com/document/d/1mvpQa01gRTvEKKCcrqCwinapJ_NKB66MlLmxa1RGQrM/edit?tab=t.0
Purpose: The GFW Data Training Shared Drive contains training materials for using GFW data.
Uses:
- Reference for current GFW staff and partners
- Onboarding for new GFW staff and partners
- Periodic training meetings and workshops
Contents:
Training Slide Decks: This folder contains numerous slide decks focused on different GFW datasets. The most up-to-date training slide decks are in training_slides_current. Quarterly versions of the complete training slide deck set are saved in training_slides_archive following the naming convention training_slides_YYYY_Q
Example Queries: This folder contains a Google Doc with descriptions and links to the most current example queries for working with GFW data.
- All queries are saved as SQL files on GitHub in the queries/examples/current folder in the bigquery-documentation-wf827 repo.
- Old versions of example queries are stored in the queries/examples/archive folder
- All queries are saved as SQL files on GitHub in the queries/examples/current folder in the bigquery-documentation-wf827 repo.
BigQuery Table Reference: Table containing current best list of datasets and tables to use for analysis
Training Workshops: This folder contains various admin materials for planning GFW training workshops
Updating: As new versions of datasets and tables are produced, GFW staff should periodically update the GFW data training materials for their assigned datasets (see Assignments) accordingly. This process includes the following:
- GFW staff add/update example queries.
- The old versions of the queries should be moved to the queries/examples/archive folder in the bigquery-documentation-wf827 repo.
- The new versions of the queries should be added to the queries/examples/current folder using the options below. Queries should be clearly named according to what they do and be date-versioned with the vYYYYMMDD format (e.g. vessel_track_with_fishing_hours_vYYYYMMDD.sql).
- The old versions of the queries should be moved to the queries/examples/archive folder in the bigquery-documentation-wf827 repo.
- Option A: Clone the bigquery-documentation-wf827 repo and push new queries to the correct folder (make sure to pull first if not cloning for the first time!)
- Option B: Upload files to the bigquery-documentation-wf827 repo
- Step 1: Save example query locally as a .sql file
- Step 2: Navigate to the current example query folder bigquery-documentation-wf827/queries/examples/current
- Step 3: Click Upload files
- Step 4: Drag/drop file, add a commit message, and press Commit
- Step 1: Save example query locally as a .sql file
- Option C: Create a new file directly in the bigquery-documentation-wf827 repo on github.com
- Step 1: Navigate to the example query folder for the current quarter in bigquery-documentation-wf827/queries/examples/current
- Step 2: Click Create new file
- Step 3: Name query in the Name your file… box (make sure to use .sql suffix)
- Step 4: Copy/paste query into the <>Edit new file window
- Step 5: Add a commit message and press Commit
- Step 1: Navigate to the example query folder for the current quarter in bigquery-documentation-wf827/queries/examples/current
GFW staff update their assigned slide decks in training_slides_current. Links to example queries should be updated to reference the correct version of the query stored in bigquery-documentation-wf827.
All slide decks are combined into a single, versioned slide deck and saved in training_slides_archive (Tyler).
Assignments: GFW staff are responsible for updating the training materials for certain datasets. These assignments are generally based on that staff member’s expertise in the subject/dataset.
- BigQuery: Tyler, David
- Intro to AIS: David
- Pipeline: Enrique, Andres, Matias, Tim
- Research tables: Tyler
- Fishing effort: Tyler
- Vessel database: Jaeyoon
- Vessel info tables: Tyler
- Ports and voyages: Nate, Tim
- Transshipment: Hannah, Nate
- VIIRS: Masaki
- SAR: Fernando, David
- VMS: Bjorn, Tim W