Rigor and reproducibility instruction in academic medical libraries

Abstract

Background: Concerns over scientific reproducibility have grown in recent years, leading the National Institutes of Health (NIH) to require researchers to address these issues in research grant applications. Starting in 2020, training grants were required to provide a plan for educating trainees in rigor and reproducibility. Academic medical centers have responded with different solutions to fill this educational need. As experienced instructors with expertise in topics relating to reproducibility, librarians can play a prominent role in providing trainings, classes, and events to educate investigators and trainees, and bolstering reproducibility in their communities. Case Presentations: This special report summarizes efforts at five institutions to provide education in reproducibility to biomedical and life sciences researchers. Our goal is to expand awareness of the range of approaches in providing reproducibility services in libraries. Conclusions: Reproducibility education by medical librarians can take many forms. These specific programs in reproducibility education build upon libraries’ existing collaborations, with funder mandates providing a major impetus. Collaborator needs shaped the exact type of educational or other reproducibility support and combined with each library’s strengths to yield a diversity of offerings based on capacity and interest. As demand for and complexity of reproducibility education increases due to new institutional and funder mandates, reproducibility education will merit special attention.

The Influence of Physiologic Burdens Related to Obstructive Sleep Apnea on Cardiovascular Outcomes

“…Although these metrics are well described in text format, there are still particularities in their implementations ( 10 ). Thus, this is also an opportunity to consider reproducibility and the recent and significant movement by the NIH toward promoting rigorous and transparent research ( 11 ). In this case, Labarca and colleagues ( 5 ) share partially the code of the metrics they computed.…”