OOI Ocean Data Labs Development Workshop

August 18-23, 2019

Western Washington University, Bellingham WA

At this workshop, professors from around the country will come together to learn about and engage in efforts to bring Ocean Observatory Initiative (OOI) data into their undergraduate teaching. This workshop is part of our full series of Data Labs Workshop.

Key Objectives of the Data Lab Workshop

Participants will:

  1. Learn about the OOI program and key science questions it addresses.
  2. Access existing tools and resources designed to integrate OOI data into teaching.
  3. Be introduced to Python as a tool for working with and engaging students in OOI data.
  4. Learn how to effectively incorporate OOI data labs into undergraduate teaching.
  5. Create a customized new resource to bring OOI data into your classes.
  6. Have an opportunity to network with other professors interested in using oceanographic data. in undergraduate teaching.

Workshop Overview

  • Day 1: Laying the groundwork for understanding and using OOI data in teaching; explore existing OOI data labs
  • Day 2: Exploring Python and building data skills; Generating ideas for how you will bring OOI data into your undergraduate course
  • Day 3: Creating a plan:  What OOI customized resource will I create?
  • Day 4: Develop and refine your OOI customized resource
  • Day 5: Reflection and presentations: Looking forward; Planning for future applications of OOI in my teaching

Agenda and Resources

Initial Participant Agenda (pdf) – This will likely change as we adapt the schedule during the workshop.


Welcome – Sunday August 18, 2019

Time Topic, Objectives & Activities
4:00 pm-6:00 pm Check-in at Fairhaven Dorms, Building 12
6:00 pm Dinner at Boundary Bay Brewery
We will be carpooling from Fairhaven. Daily commuters, we hope you will join us!

Day 1 – Monday August 19, 2019

Objective: Laying the groundwork for understanding and using OOI data in teaching.

Time Topic, Objectives & Activities
8:00 am Breakfast
8:30 am Welcome and Introductions
Meet each other and review the goals for the week.

9:30 am The OOI Today: An introduction to its history and the science it supports – Part 1
Understand the driving forces that created the OOI and how it can enable future scientific research.
10:15 am Coffee Break
10:30 am The OOI Today: An introduction to its history and the science it supports – Part 2
Understand what the OOI was designed to do and why.

11:15 am The Structure of the OOI & the OOI Website
Learn about the OOI infrastructure and discover where key resources can be found on the OOI website.

12:00 pm Lunch
12:45 pm Introduction to the OOI Data Labs
Share current suite of Data Labs and understand their intended uses.

1:30 pm Where does OOI data fit in my teaching? Case Study on Primary Production
Understand how OOI can be integrated into undergraduate teaching with a case study example.

2:15 pm How do I effectively integrate OOI data into my teaching? – Introduction to the Learning Cycle
Introduce common language/pedagogy for how we introduce and apply OOI data in our teaching.

3:15 pm Coffee Break
3:30 pm Explore Existing OOI Data Labs (Chemistry, Biology, or Geology)
Hands on exploration of the Data Labs online collection of Data Explorations

Data Explorations Round-Robin

  1. Exploration – Chlorophyll across the year
  2. Application – Chlorophyll in and off shore
  3. Exploration – Processes that Change Salinity
  4. Application – Changes in Salinity with Depth
  5. Exploration – Plate Boundary Features
  6. Application – Geological Features of a Seamount – 2
4:45 pm Reflection and Feedback
Review and reflect on what we learned today.
Complete Road Check #1
5:00 pm Free Time / Organize groups for dinner

Day 2 – Tuesday August 20, 2019

Objective: Exploring OOI data and building data skills.

Time Topic, Objectives & Activities
8:00 am Breakfast
9:00 am The End Goal for the Week – Data Lab Example Products
Investigate Data Explorations developed by previous workshop participants

9:30 am Quick Introduction to the OOI Data Portal and Data Documents
Explore OOI data platforms, instruments and data types

10:00 am Coffee Break
10:15 am Introduction to Curated Data Nuggets and OOI Data Resources
Understand what data is available to create your own Data Lab

11:00 am Data Lab Work Session: Backwards Design Step 1
What are the big ideas and important understandings you want to focus on?
What do you want your students to know/be able to do with these concepts?
What science questions are you interested in using OOI data to support?
Form topic groups based on shared interests. Develop an initial set of content learning objectives.

12:00 pm Lunch
1:00 pm OOI Science: A Case Study from the Irminger Sea
Explore a published dataset from the Global Irminger Sea Array that demonstrates a disciplinary core idea (science) and the visualization process.
Gain experience with the Jigsaw Research Discussion format

2:00 pm Quick-start to Accessing and Visualizing OOI Data using Python
Explore Python as a tool to access OOI data from the Irminger Sea Array.

3:00 pm Coffee Break
3:15 pm Using Python as an Educational Tool
Continuing exploring Python as a computing tool to work with OOI datasets
4:45 pm Reflection and Feedback
Review and reflect on what was learned today. What excited you about today? What would you share with a colleague about today’s work?
Road Check #2
5:00 pm Free Time / Organize groups for dinner

The rest of the agenda will be updated during the workshop.

Workshop Participants


  • Rachel Eveleth, Oberlin College
  • Sarah Gerken, University of Alaska
  • Miguel Goni, Oregon State University
  • Natasha Gownaris, Gettysburg College
  • Cheryl Greengrove, University of Washington Tacoma
  • Ajoy Kumar, Millersville University
  • Karin Lemkau, Western Washington University
  • Ian Miller, Peninsula College
  • Mikelle Nuwer, University of Washington
  • Todd Radenbaugh, University of Alaska Fairbanks – Bristol Bay
  • Karen Rudio, Community College of Rhode Island
  • David Shull, Western Washington University
  • Sara Smith, Bellingham Technical College
  • Elizabeth Suter, Molloy College
  • Michael Vendrasco, Pasadena City College


  • Sage Lichtenwalner (@visualocean), Rutgers University – New Brunswick
  • Brooke Love, Western Washington University
  • Janice McDonnell, Rutgers University – New Brunswick
  • Dax Soule (@DaxSoule), Queens College, CUNY