| Literature DB >> 30879984 |
Matthias von Herrath1, Philippe P Pagni2, Kevin Grove2, Gustaf Christoffersson3, Mads Tang-Christensen4, Allan Ertmann Karlsen4, Jacob Sten Petersen4.
Abstract
Recent articles have highlighted the lack of reproducibility of data from scientific publications. Here we would argue that a better way to describe and also tackle this matter is to use the term "lack of robustness," since it points toward potential solutions. Presenting several case reports, we highlight examples with common underlying issues from Novo Nordisk's experience: animal model variability, reagent quality, and inter-lab variability. We discuss means to prevent these issues and argue for increased collaborative work and transparent manuscript revision procedures. Collectively, we believe these measures will help promote a more rapid and efficient self-corrective process in diabetes drug target research.Entities:
Mesh:
Year: 2019 PMID: 30879984 DOI: 10.1016/j.cmet.2019.02.004
Source DB: PubMed Journal: Cell Metab ISSN: 1550-4131 Impact factor: 27.287