Measures to increase value of preclinical research - an inexpensive and easy-to-implement approach to a QMS for an academic research lab [version 1; peer review: 1 approved, 2 approved with reservations]

Autor: Michael Hewera, Ann-Christin Nickel, Nina Knipprath, Sajjad Muhammad, Xiaolong Fan, Hans-Jakob Steiger, Daniel Hänggi, Ulf Dietrich Kahlert
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: F1000Research, Vol 9 (2020)
Druh dokumentu: article
ISSN: 2046-1402
DOI: 10.12688/f1000research.24494.1
Popis: Background: Increasing concerns emerge regarding the limited success in reproducing research results. This is a major problem for science, society and economy. Driven by industry or scientific networks, several attempts to combat this crisis are initiated. However, only few measures address the applicability and feasibility of implementation of actions into an academic research environment with limited resources. Methods: Here we propose a strategy catalogue aiming for a quality management system suitable for many research labs. Our proposal is guided by its inexpensiveness and possibility of rapid installation. Moreover, we restrict presentations of our actions on those for what we received a positive feedback by the users regarding its applicability. For this we used eLabFTW, an electronic lab book, as hub for all other components of our quality management system (QMS). Storage of lab journals and project management will be done there as well. Standard operation procedures have been introduced. Those will be stored in eLabFTW too. Furthermore, we implemented a bio bank for safer long term storage of bio samples and cryo-cultures of cell lines. Next we set up a lab meeting as feedback mechanism for the QMS. In a final step we implemented an automated pipeline to be used for example for drug screens. Results: With this effort we want to reduce individual differences in work techniques, to further improve the quality of our results. Although, just recently established, we can already observe positive outcomes in quality of experimental results, improvements in sample and data storage, stakeholder engagement and even promotion of new scientific discoveries. Conclusions: We believe that our experiences can help to establish a road map to increase value and output of preclinical research in academic labs with limited budget and personnel.
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