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Implementation of the EQIPD Quality System.

Björn Gerlach1, Marcus W Meinhardt2, Martien J H Kas3

  • 1Guarantors of EQIPD e.V., Heidelberg, Germany; PAASP GmbH, Heidelberg, Germany; Institute for Psychopharmacology, Central Institute of Mental Health, Mannheim, Germany.

Journal of Neuroscience Methods
|February 24, 2024
PubMed
Summary
This summary is machine-generated.

The EQIPD Quality System (QS) offers a framework for non-regulated biomedical research, guiding labs to improve practices. This report details the QS and provides examples for implementation, promoting Good Research Practice.

Keywords:
Data integrityEQIPD quality systemGood research practiceImprove research practicesReproducibilitySystematic framework

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Area of Science:

  • Biomedical Research
  • Quality Management Systems
  • Laboratory Practices

Background:

  • Non-regulated biomedical research requires standardized practices for reliability.
  • Existing quality systems may not fully address the needs of academic and industrial research settings.
  • The EQIPD Quality System (QS) was developed to meet these specific needs.

Purpose of the Study:

  • To describe the EQIPD Quality System (QS) and its 18 Core Requirements (CR).
  • To provide practical examples of QS implementation in diverse laboratory environments.
  • To guide research labs in adopting the QS for improved research quality.

Main Methods:

  • Conceptualization and establishment of the QS by an international consortium.
  • Detailed description of the QS content, features, and 18 Core Requirements.
  • Case studies illustrating the application of CRs in two distinct research labs.

Main Results:

  • The EQIPD QS provides a systematic framework for enhancing research practices.
  • Practical examples demonstrate the adaptability of the QS across different lab settings.
  • The report outlines the benefits and governance of the QS for various stakeholders.

Conclusions:

  • The EQIPD QS facilitates the adoption of Good Research Practice in non-regulated biomedical research.
  • Implementation guidance and real-world examples support broader uptake of the QS.
  • The QS framework enhances research integrity and efficiency for the scientific community.