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Tuesday, July 27 • 9:00am - 10:00am
T19- Four recommendations for open source software (4OSS lesson)

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Scientific data-driven research relies on software to create, process and analyze data, yet software is not always developed following practices that ensure its quality, sustainability and FAIRness. Rather than proposing new software development best practices, this course aims to provide researchers using some code in their projects with four simple recommendations encouraging the adoption of existing best practices. Software development best practices promote better quality software, and better quality software improves the reproducibility and reusability of research. These four recommendations are designed around Open Source values, and provide practical suggestions that contribute to making research software and its source code more discoverable, reusable and transparent. This course is aimed at researchers working with software (or willing to do so) as part of their regular activities.

Tuesday, July. 27
9-10AM: First session
Midnight - 1AM next day: REPEAT First session
Thursday, July. 29
9-10AM: Second session
Midnight - 1AM next day: REPEAT Second session
Tuesday, Aug. 3
9-10AM: Third session
Midnight - 1AM next day: REPEAT Third session


Leyla Jael Garcia Castro

Team leader, ZB MED Information Centre for Life Sciences

Eva Mart'in del Pico

Barcelona Supercomputing Center
avatar for José M. Fernández

José M. Fernández

Senior Research Engineer, Barcelona Supercomputing Center
avatar for Fotis Psomopoulos

Fotis Psomopoulos

Researcher, Institute of Applied Biosciences, Centre for Research and Technology Hellas

Allegra Via

Research scientist, National Research Council of Italy

Tuesday July 27, 2021 9:00am - 10:00am PDT
T19 Classroom