FAIR Data Training for Deep Ocean Early Career Researchers: Syllabus and slide presentations

Abstract

It is essential for our next generation of leaders in deep ocean observing to gain knowledge and skills in research data management, including how to make data FAIR - Findable, Accessible, Interoperable, and Reusable. This educational package was developed as a virtual workshop series for Deep Ocean Early career Researchers (DOERs) with content tailored for the Deep Ocean Observing Strategy (DOOS), an international network of deep ocean observing, mapping, exploration, and modeling programs endorsed as a UN Ocean Decade Programme. Modules step through the research data lifecycle, starting with 1 “Foundational Practices for FAIR Data,” 2 “Collaborating in the Research Data Lifecycle,” 3 “Best Practices in the Ocean Sciences,” and concluding with 4 “The “R” in FAIR data lifecycle: Reusable data.” This package includes the syllabus which shows the schedule for delivery of the workshop series as well as an overview of content and learning objectives. There are no prerequisites to participate in this course. The training was delivered in English; recordings were provided ahead of the virtual sessions and a live transcript was implemented during the sessions to improve accessibility.

We would like to acknowledge data professionals (SeaFAIRers) who participated in development and delivery of these training materials, including Carolina Berys-Gonzalez, Elizabeth Hetherington, Marine Lebrec, Sarah O’Connor, Michael F. Vardaro, and Dawn Wright. This training program builds on a previous workshop series (Beaulieu, S.E., et al., "Data Science Training Camp at Woods Hole Oceanographic Institution: Syllabus and slide presentations in 2020", https://doi.org/10.1575/1912/26103).

Figure thumbnail showing how the four modules step through the research data lifecycle, modified from Stocks, Karen; Beaulieu, Stace; Berys-Gonzalez, Carolina; Biddle, Mathew; Mills, Allison; O'Connor, Sarah; et al. (2023). Easy Resources for Managing Your Ocean Data. ESIP. Figure. https://doi.org/10.6084/m9.figshare.21766709.v2