Ten simple rules for implementing open and reproducible research practices after attending a training course

Journal article

Open, reproducible, and replicable research practices are a fundamental part of science. Training is often organized on a grassroots level, offered by early career researchers, for early career researchers. Buffet style courses that cover many topics can inspire participants to try new things; however, they can also be overwhelming. Participants who want to implement new practices may not know where to start once they return to their research team. We describe ten simple rules to guide participants of relevant training courses in implementing robust research practices in their own projects, once they return to their research group. This includes (1) prioritizing and planning which practices to implement, which involves obtaining support and convincing others involved in the research project of the added value of implementing new practices; (2) managing problems that arise during implementation; and (3) making reproducible research and open science practices an integral part of a future research career. We also outline strategies that course organizers can use to prepare participants for implementation and support them during this process

Authors: Heise, V; Holman, C; Lo, H; Lyras, EM; Adkins, MC

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Public Library of Science
• Journal: PLoS Computational Biology
• Volume: 19
• Issue: 1
• Pages: e1010750-e1010750
• Publication date: 2023-01-05
• DOI: 10.1371/journal.pcbi.1010750
• EISSN: 1553-7358
• ISSN: 1553-734X
• Language: English
• Keywords: Psychology; Medical education; Knowledge management; Simple (philosophy); Political science; Medicine; Management; Process (computing); Computer science; Training (meteorology); Best practice; Grassroots