The “Reproducibility for Everyone” group was formed to consolidate expertise about reproducibility tools and best practices and provide that expertise to current researchers in the form of workshops, handouts, articles, posters and other materials. The group works to enable researchers not only to adopt best practices in reproducibility, but also to teach other researchers about reproducibility by giving them the means and contacts to organize their own reproducibility workshops.
Name: Benjamin Schwessinger, Ph.D. Role: Lead Organizer of the Reproducibility for Everyone group Responsible for Modules:
Benjamin Schwessinger is an ARC Future Fellow and independent group leader at Australian National University where he focuses on rust fungi biology. Benjamin is a long time advocate for open science and has been a member of eLife’s early career advisory group with a focus on “Reproducibility for Everyone” events. Benjamin is the main organizer and point of contact for the “Reproducibility for Everyone” group and brings experience with reproducibility at the bench, an academic perspective, and direct contact with eLife ambassadors.
Name: Protocols.io (Lenny Teytelman) Role: Expertise in reproducible method recording and sharing Responsible for Modules: Protocols.io is an open access repository for science methods. It allows scientists to describe the details of protocols in a collaborative fashion after a paper is published. Founded by Lenny Teytelman, Alexei Stoliartchouk, and Irina Makkaveeva, protocols.io provides the “Reproducibility for Everyone” group with expertise in best practices for sharing research methods in reproducible ways and has a long history of advocating for best practices in reproducibility generally. Lenny Teytelman is the “Reproducibility for Everyone” group’s main point of contact at protocols.io and provides excellent perspective on the challenges and importance of positive messaging surrounding reproducibility issues. Lenny also has a wide personal network encompassing many people working in reproducibility and Open Science.
Name: Code Ocean (April Clyburne-Sherin) Role: Expertise in best practices for sharing software and computational tools Responsible for Modules: Code Ocean is a cloud-based computational reproducibility platform that provides researchers with an easy way to share, discover, and run code published in academic journals and at conferences. Founded by Simon Adar, Code Ocean provides the “Reproducibility for Everyone” group with expertise in best practices for sharing software and computational analysis tools developed during the research process. The “Reproducibility for Everyone” group’s main point of contact at Code Ocean is April Clyburne-Sherin who brings in-depth experience organizing reproducibility and open science-focused events from her time at Code Ocean, the Center for Open Science, and Sense About Science USA.
Name: Addgene (Angela Kaczmarczyk) Role: Expertise in best practices for physical reagent sharing and validation Responsible for Modules: Wet-lab reagent sharing Addgene is a nonprofit plasmid repository that enables researchers in the biological sciences to share validated research materials (primarily plasmids) and information about those materials. Founded by Melina Fan, Kenneth Fan, and Benjie Chen, Addgene provides expertise in best practices for physical reagent sharing, storage, and quality control. Angela Kaczmarczyk is the “Reproducibility for All” group’s main contact at Addgene. Angela has experience communicating directly with researchers, journals, and scientific societies from her role as an Addgene Outreach Scientist and frequently communicates with the DIY Biology community through her role as a co-organizer of Boston Open Science Laboratory (BosLab), a community Biotech lab in Somerville MA.
Name: Tracey Weissgerber, Ph.D. Role: Expertise in meta-research, data visualization and statistics education Responsible for Modules: Data visualization, statistical reporting (t-tests and ANOVA) Tracey Weissgerber is an Assistant Professor studying preeclampsia at the Mayo Clinic, and a Group Leader and meta-researcher at QUEST (BIH Center for Transforming Biomedical Research). Her meta-research work focuses on improving the quality of data visualization and statistical reporting in the basic biomedical sciences and creating interactive data visualization tools to transform papers from static reports into interactive datasets.