Enhancing Quality In Preclinical Data

EQIPD offers simple and sustainable solutions that facilitate improvements in data quality without impacting innovation and freedom of research, developed by scientists in academia and industry


Certified sites


Core Requirements


consortium Partners



EQIPD is a fit for every member of the research community

Pharma industry

… invests into the most expensive phases of drug R&D.
Clinical studies based on preclinical evidence lacking robustness are likely to fail.
EQIPD provides solutions to improve data integrity.

Private and public funders

… support a great number of projects guided by their scientific excellence. 
Research quality assessment is a filter that can be applied to focus investments on most robust and therefore more likely to translate research.

Research organizations

… increasingly depend on successful collaborations and sustainability of research output.
EQIPD offers several possibilities to review, implement and maintain best research practices.

Scientific Excellence vs. Research Quality

Scientific excellence is the key to advance science but it does not guarantee that the conducted experiments deliver robust results. There are two primary reasons for that. First, education in science does not always focus on the requirements for delivering of robust data. Second, excitement associated with a scientific hypothesis or conveyed by a scientific leader may introduce bias in study design, conduct, analysis and/or reporting.

Regulated vs. Non-regulated

In the drug discovery and development process, there are several steps that have adequate quality control and are covered by GxP policies (e.g. Good Laboratory Practice, GLP).For non-regulated areas (most specifically, biology and pharmacology of drug discovery projects), GLP-like procedures would not be fit for purpose and may not help to secure the quality of research. In fact, one may indeed imagine a lab running under GLP conditions but nevertheless still failing to design and execute robust studies.

Good Research Practice vs. Research Integrity

Responsible conduct of research has multiple facets and the examples of suboptimal or unacceptable practices go well beyond the commonly known definition of research misconduct (fabrication, falisfication or plagiarism).In addition to such direct violations of the good research practices, examples of other unacceptable practices include manipulating authorship, withholding research results, reporting of results so as to introduce or promulgate bias, failing to document essential steps or results of the research process.


Martien Kas / Piotr Popik

Use cases of the EQIPD quality system

In this webinar Martien and Piotr present their take on the EQIPD quality system and how it was implemented in their research environment. They provide interesting use cases and examples on the implementation process as well as benefits of having such a system.

Find out more about…


the EQIPD project

Sign up for our Newsletter.

Which is published every two months and informs about developments in the field of Good Research Practice.


Publication: Implementing the EQIPD Quality System

Members of the EQIPD consortium and working in preclinical research have published a manuscript on the EQIPD Quality System. The Journal of Neuroscience Methods article discusses the implementation of the EQIPD Quality System (QS) in non-regulated biomedical research to improve research practices and ensure data integrity. The EQIPD QS consists of 18 Core Requirements that…