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The first full-service, independent consulting and auditing company focusing on the evaluation of data quality and practice in biomedical research.


How robust are preclinical data and how biased is research?

Recent publications showed some worrying results about the quality in research and point towards a major issue in the scientific field: The lack of being able to reproduce research data. This issue seems to be so prominent that the phrase “Reproducibility Crisis” came up because 50 -90% of data could not be reproduced. Interestingly, according to a survey published in Nature shows that researchers are aware!

In summary, it looks like there is a huge problem of biased research in different scientific areas. Various solutions are discussed to improve data quality and integrity, but unlike in many other professions and private life, a comprehensive evaluation of bias in research is missing.


PAASPort®: It is possible to judge bias in research!

Scientists at PAASP have developed a unique evaluation protocol which was named PAASPort® to identify potential bias in research.

This tool allows the identification of many -if not all- risk factors leading to biased research data. However, also protection mechanisms are identified which are used by the researchers to prevent such bias. Like this it is possible to create a comprehensive picture about the quality of research data by a particular lab.

Therefore,  The PAASPort® consists of a three step process which is shown in the image below: 1. Planning, 2. On-site Visit and 3. Feedback. During all these phases the PAASPort® requires to maintain close discussions with researchers about the processes


Who profits when using the PAASPort®?

The PAASPort® is optimised for preclinical research and many institutions can profit by using the PAASPort®.


What does PAASP do?

PAASP sees itself as the pioneer in evaluating research practices with the PAASPort® tool. However, our experts also aim to create awareness among researchers and our educational programs provide solutions on how to make research more robust.

Besides the PAASPort®, PAASP offers also other services, several of them in collaboration with specialists in their respective fields.


PAASP Resource Center

PAASP collects and curates information for researchers in the Resource Center on the reproducibility crisis.

The resources provide support and background information for improving the research process but are also fun!


Trusted by

academia

Justus-Liebig-University of Giessen
University of Heidelberg – INBC
University of Heidelberg – HBIGS
Charité – Universitätsmedizin Berlin
IME Fraunhofer

industry

Institut de Recherche Pierre Fabre
Porsolt
Synaptologics B.V. (Sylics)

non-profit

Cohen Veterans Biosciences


Funded Projects

Q-CoFa



In the common scenario of an effect just reaching the “statistical significance” level of p < 0.05, the statistical power of the replication experiment (assuming the same effect size) is approximately 50% – in essence, a coin toss (REF).


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LINK to the overview of our last Newsletter from August 2019.

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