How robust are your data?

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.


The tool to assess and improve quality of research practices!

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 risk factors, leading to biased research data, and protection mechanisms, preventing such bias. This allows to create a comprehensive picture about the quality of research data.

PAASP Network

The partnership consists of a network of experts in the US and Europe and performs services around the globe.

Find out more about the PAASP team or get directly in contact.

PAASP Resource Center

PAASP collects and curates information for researchers in the Resource Center on improving the research and best practices.

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