Training opportunity: Reimagining complex data-intensive reports
Cross-posted at openscapes.org/events, nmfs-openscapes.github.io/blog.
Welcome! This is a training opportunity for fisheries scientists as part of the prestigious ICES Summer Training Courses. ICES (International Council for the Exploration of the Sea) is the world’s oldest intergovernmental science organization focused on marine science and is well-known for facilitating upskilling and collaboration among fisheries colleagues1.
When: June 22 - 26, 2026
Where: in-person, Copenhagen, Denmark
Details and registration: ICES Training Courses - Reimagining complex data-intensive reports
Application deadline: 27 April 2026
There is a cost for members and non-members to participate.
About the Workshop
This 5-day in-person workshop is designed to help diverse teams - that have a variety of roles and skills, transition to collaborative and reproducible workflows for their data-driven reports. This workshop blends the Openscapes Champions Program with the NOAA Fisheries RVerse hands-on skill-building clinics. During the workshop, participants will learn and use Quarto (next-gen R Markdown, now for R, Python or Julia) and GitHub to develop a reproducible report tailored to the participant’s own goals. NOAA Fisheries has led the way developing reproducible data-intensive reports using R + Quarto + GitHub, including developing features that will be in the newest release of Quarto. This course will teach you how to do this!
The goal of this workshop is to help teams move away from “data_report_v24_final_FINAL.doc” and long email chains, “Re: Re: FWD: data question”, and reduce the loneliness, lost-time, brittleness, and frustration that comes from silo-ed and manual workflows that are inefficient and error-prone and that are not robust to staff turn-over.
Please see the workshop website for more details on the target audience and what to expect.
Instructors
Eli Holmes (NOAA Fisheries Open Science), Julie Lowndes (Openscapes), and Gavin Fay (University of Massachusetts, Dartmouth) will co-teach this workshop. They have been working together in their own organizations to support fisheries scientists to collaborate around data-intensive workflows. This team has a long history of working and teaching together, including co-leading a panel and unconference Onboarding fisheries scientists to Open Science to participate in integrating collaborative and inclusive principles into education, workforce development, and community management, along with Christine Stawitz (then at NOAA Fisheries Office of Science & Technolgy).