PLoS Computational Biology (Jan 2023)

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

  • Verena Heise,
  • Constance Holman,
  • Hung Lo,
  • Ekaterini Maria Lyras,
  • Mark Christopher Adkins,
  • Maria Raisa Jessica Aquino,
  • Konstantinos I Bougioukas,
  • Katherine O Bray,
  • Martyna Gajos,
  • Xuanzong Guo,
  • Corinna Hartling,
  • Rodrigo Huerta-Gutierrez,
  • Miroslava Jindrová,
  • Joanne P M Kenney,
  • Adrianna P Kępińska,
  • Laura Kneller,
  • Elena Lopez-Rodriguez,
  • Felix Mühlensiepen,
  • Angela Richards,
  • Gareth Richards,
  • Maximilian Siebert,
  • James A Smith,
  • Natalie Smith,
  • Nicolai Stransky,
  • Sirpa Tarvainen,
  • Daniela Sofia Valdes,
  • Kayleigh L Warrington,
  • Nina-Maria Wilpert,
  • Disa Witkowska,
  • Mirela Zaneva,
  • Jeanette Zanker,
  • Tracey L Weissgerber

DOI
https://doi.org/10.1371/journal.pcbi.1010750
Journal volume & issue
Vol. 19, no. 1
p. e1010750

Abstract

Read online

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.