
In this lecture, you'll learn about:
The goals of the course, and why this subject is important
What you can expect from the course structure
This lecture contains:
A primer on data and metadata
Descriptions of the basic categories of ocean data
Examples of how we collect ocean data, including the Argo program, Ocean Networks Canada's cabled observatories, and MaPP's kelp monitoring project
Standards that apply to ocean data and metadata, including CF conventions, DarwinCore, and Essential Ocean Variables (EOVs)
This lecture contains:
Basics of what AI is
Examples of how AI is being applied to ocean data
Barriers to implementation and limitations to current abilities
Special thanks to Jennifer LaPlante, Executive Director at DeepSense, for her assistance with this section.
This lecture contains:
What open data means
Why open data are important
Who key contributors of open data are
What the F.A.I.R. principles are and how they relate to open data
Limitations of open data in its current state of maturity
This lecture will acquaint you with some of the largest and most frequently consulted Canadian open data resources -- those provided by the Canadian government.
Repositories covered include:
The Open Data and Open Maps portals offered by the Government of Canada
Fisheries and Oceans Canada's MEDS
Provincial and territorial open data portals
There are a few specialized or domain-specific ocean data repositories that are a great source of data from both governmental and non-governmental sources. In this lecture, we will explore:
CIOOS (Canadian Integrated Ocean Observing System)
Ocean Tracking Network
Oceans 2.0 (from Ocean Networks Canada)
FRDR (Federated Research Data Repository)
Before using open data, it's essential to understand how they are licensed, as licensing information explains your rights and obligations as a data users.
This lecture covers:
Why licensing matters for both data users and data providers
Open Government Licence
Creative Commons Licenses
Other open licencing arrangements
How to find the licence that applies to a dataset
Special thanks to Ryan Deschamps, Data Trust Architect at CIOOS Atlantic, for his assistance with this section.
Now that you know where you can search for data, let's talk search tips and strategies. This article will walk you through some useful ways of structuring search queries, determining how you want to gain access to the data, and troubleshooting possible issues.
This lecture provides a brief overview of aquatic animal tracking -- specifically, acoustic telemetry -- and how data gathered from aquatic animal tracking is used.
This lecture explores a couple of emerging uses of artificial intelligence in aquaculture.
This lecture describes how deep learning can be used to develop image restoration techniques.
This lecture reviews a few additional open data repositories, as well as other resources that you may wish to explore to learn more about ocean data.
Explore what's happening internationally in this lecture.
Employment in the Canadian ocean sector is booming -- and one of the most important skillsets that you can develop if you want to work in this sector is the ability to work with ocean data! But, where should you begin? This course is a great starting place. Here, you'll be introduced to some of the core concepts that you'll need to understand on your way to becoming an ocean data whiz.
You don't need a technical background or a firm understanding of ocean science to benefit from this course -- true beginners are welcome.
Topics covered in this course include:
What are ocean data? What do we know about our oceans? Who's collecting this data, and how?
Canadian ocean data trends, including open data and artificial intelligence. Learn about these trends and their applications.
Data repositories. Find out where you can go to find data that are available for public use.
Sharing data. Understand basic methods of data sharing and how licenses impact your ability to use open data.
Use cases. See examples of how ocean data are being used today in the public and private sectors.
Canadian and international resources. Discover other sites that you can visit to deepen your understanding.
Learn through watching video lectures, completing exercises, and taking short, optional assessments to deepen your understanding.
This course was created as part of the VITALITY Project, with support from Canada's Ocean Supercluster, an industry-led, national cluster that's growing the ocean economy in a digital, sustainable, and inclusive way. The VITALITY Project aims to improve small- and medium-sized enterprises (SMEs) and students' capacity to work meaningfully with ocean data.