Skills and training curriculums to support FAIR for Research Software
Submitted by Michelle Barker
FAIR research software skills and training curriculums need to be identified and incorporated into broader efforts to facilitate increased support and recognition for the qualified personnel needed to achieve open science. International efforts such as Horizon Europe’s Supporting an EOSC-ready digitally skilled workforce aim to develop new support material, curricula and learning pathways for researchers, data curators, and data stewards and new types of professionals.
The recent development of the FAIR for research software (FAIR4RS) principles provides an opportunity for the training and research software communities to advance identification of FAIR research software skills and curriculums, building on both existing work on research software training for researchers and the growing body of FAIR data work in this area.
This meeting aims to highlight the importance of this work to ensure research software skills are included in ongoing work, to highlight current initiatives in research software training that can provide the basis for skills identification, and to learn from complementary efforts on FAIR data. Please join the email list if you would like to stay informed about this topic.
Collaborative session notes: https://docs.google.com/document/d/1K6bCkxGHv3xe1ibGK1srjI2PN-owQmPGHgvI0y3oLWA/edit?usp=sharing
5 mins Introduction
10 mins Why do we need FAIR4RS skills and training curriculums?
- Michelle Barker, Director, Research Software Alliance
15 mins Which research data initiatives are already providing useful frameworks? Short talks from exemplars in the field:
- CODATA-RDA School of Research Data Science, Hugh Shanahan, Royal Holloway, University of London, UK
- Terms4FAIRskills, Laura Molloy, CODATA, and Allyson Lister, University of Oxford, UK
10 mins Discussion: What can we learn from these initiatives?
25 mins Which research software initiatives are already providing useful frameworks? Short talks from exemplars in the field:
- US-RSE Education & Training Working Group, Julia Lessios-Damerow, Arizona State University, and Jeffrey C. Carver, University of Alabama
- Code Refinery, Radovan Bast, UiT The Arctic University of Norway
- Library Carpentry instructions for Research Software, Alexander Struck, de-RSE, Germany
25 mins Whole of group discussion on how to advance this work
This BoF will explore a range of existing initiatives that could provide the basis for further work in this area, as listed in the agenda.
Draft FAIR principles for research software by Neil Chue Hong et al.
Software Carpentry lessons, The Carpentries
FAIR4S (FAIR4skills) competences and capabilities version 2.0
Best Practices for Writing Reproducible Code, Utrecht University
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