Introduction to the EQIPD quality system eLife

Neuroscience 2021; 10:e63294
Authored By:
Anton Bespalov, René Bernard, Anja Gilis, Björn Gerlach, Javier Guillén, Vincent Castagné, Isabel A Lefevre, Fiona Ducrey, Lee Monk, Sandrine Bongiovanni, Bruce Altevogt, María Arroyo-Araujo, Lior Bikovski, Natasja de Bruin, Esmeralda Castaños-Vélez, Alexander Dityatev, Christoph H Emmerich, Raafat Fares, Chantelle Ferland-Beckham, Christelle Froger-Colléaux, Valerie Gailus-Durner, Sabine M Hölter, Martine CJ Hofmann, Patricia Kabitzke, Martien JH Kas, Claudia Kurreck, Paul Moser, Malgorzata Pietraszek, Piotr Popik, Heidrun Potschka, Ernesto Prado Montes de Oca, Leonardo Restivo, Gernot Riedel, Merel Ritskes-Hoitinga, Janko Samardzic, Michael Schunn, Claudia Stöger, Vootele Voikar, Jan Vollert, Kimberley E Wever, Kathleen Wuyts, Malcolm R MacLeod, Ulrich Dirnagl, Thomas Steckler
While high risk of failure is an inherent part of developing innovative therapies, it can be reduced by adherence to evidence-based rigorous research practices. Supported through the European Union’s Innovative Medicines Initiative, the EQIPD consortium has developed a novel preclinical research quality system that can be applied in both public and private sectors and is free for anyone to use. The EQIPD Quality System was designed to be suited to boost innovation by ensuring the generation of robust and reliable preclinical data while being lean, effective and not becoming a burden that could negatively impact the freedom to explore scientific questions. EQIPD defines research quality as the extent to which research data are fit for their intended use. Fitness, in this context, is defined by the stakeholders, who are the scientists directly involved in the research, but also their funders, sponsors, publishers, research tool manufacturers, and collaboration partners such as peers in a multi-site research project. The essence of the EQIPD Quality System is the set of 18 core requirements that can be addressed flexibly, according to user-specific needs and following a user-defined trajectory. The EQIPD Quality System proposes guidance on expectations for quality-related measures, defines criteria for adequate processes (i.e. performance standards) and provides examples of how such measures can be developed and implemented. However, it does not prescribe any pre-determined solutions. EQIPD has also developed tools (for optional use) to support users in implementing the system and assessment services for those research units that successfully implement the quality system and seek formal accreditation. Building upon the feedback from users and continuous improvement, a sustainable EQIPD Quality System will ultimately serve the entire community of scientists conducting non-regulated preclinical research, by helping them generate reliable data that are fit for their intended use.
Published in:

More Publications

August 1, 2023

Journal of Psychopharmacology

Improving Translational Relevance in Preclinical Psychopharmacology (iTRIPP)

July 6, 2023

Gerontology and Geriatric Medicine

Caring for Dementia Caregivers: Understanding Caregiver Stress During the COVID-19 Pandemic

May 19, 2023

Nature Reviews Neurology

Global synergistic actions to improve brain health for human development

April 20, 2023

Nature Mental Health

Machine learning-based identification of a psychotherapy-predictive electroencephalographic signature in PTSD

February 21, 2023

Translational Psychiatry

Screening for PTSD and TBI in Veterans using Routine Clinical Laboratory Blood Tests

February 13, 2023

Frontiers in Aging Neuroscience

Machine learning within the Parkinson’s progression markers initiative: Review of the current state of affairs