Quality assurance and best research practices for non-regulated veterinary clinical studies

Abstract Veterinary clinical trials generate data that advance the transfer of knowledge from clinical research to clinical practice in human and veterinary settings. The translational success of non-regulated and regulated veterinary clinical studies is dependent upon the reliability and reproducib...

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Main Authors: R. Davies, C. London, B. Lascelles, M. Conzemius
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BMC Veterinary Research
Online Access:http://link.springer.com/article/10.1186/s12917-017-1153-x
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spelling doaj-1177bb32f169441bba61536f4ed6eced2020-11-25T00:09:37ZengBMCBMC Veterinary Research1746-61482017-08-011311710.1186/s12917-017-1153-xQuality assurance and best research practices for non-regulated veterinary clinical studiesR. Davies0C. London1B. Lascelles2M. Conzemius3College of Veterinary Medicine, University of MinnesotaCummings School of Veterinary Medicine, Tufts UniversityComparative Pain Research Laboratory, Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State UniversityCollege of Veterinary Medicine, University of MinnesotaAbstract Veterinary clinical trials generate data that advance the transfer of knowledge from clinical research to clinical practice in human and veterinary settings. The translational success of non-regulated and regulated veterinary clinical studies is dependent upon the reliability and reproducibility of the data generated. Clinician-scientists that conduct veterinary clinical studies would benefit from a commitment to research quality assurance and best practices throughout all non-regulated and regulated research environments. Good Clinical Practice (GCP) guidance documents from the FDA provides principles and procedures designed to safeguard data integrity, reliability and reproducibility. While these documents maybe excessive for clinical studies not intended for regulatory oversight it is important to remember that research builds on research. Thus, the quality and accuracy of all data and inference generated throughout the research enterprise remains vulnerable to the impact of potentially unreliable data generated by the lowest performing contributors. The purpose of this first of a series of statement papers is to outline and reference specific quality control and quality assurance procedures that should, at least in part, be incorporated into all veterinary clinical studies.http://link.springer.com/article/10.1186/s12917-017-1153-x
collection DOAJ
language English
format Article
sources DOAJ
author R. Davies
C. London
B. Lascelles
M. Conzemius
spellingShingle R. Davies
C. London
B. Lascelles
M. Conzemius
Quality assurance and best research practices for non-regulated veterinary clinical studies
BMC Veterinary Research
author_facet R. Davies
C. London
B. Lascelles
M. Conzemius
author_sort R. Davies
title Quality assurance and best research practices for non-regulated veterinary clinical studies
title_short Quality assurance and best research practices for non-regulated veterinary clinical studies
title_full Quality assurance and best research practices for non-regulated veterinary clinical studies
title_fullStr Quality assurance and best research practices for non-regulated veterinary clinical studies
title_full_unstemmed Quality assurance and best research practices for non-regulated veterinary clinical studies
title_sort quality assurance and best research practices for non-regulated veterinary clinical studies
publisher BMC
series BMC Veterinary Research
issn 1746-6148
publishDate 2017-08-01
description Abstract Veterinary clinical trials generate data that advance the transfer of knowledge from clinical research to clinical practice in human and veterinary settings. The translational success of non-regulated and regulated veterinary clinical studies is dependent upon the reliability and reproducibility of the data generated. Clinician-scientists that conduct veterinary clinical studies would benefit from a commitment to research quality assurance and best practices throughout all non-regulated and regulated research environments. Good Clinical Practice (GCP) guidance documents from the FDA provides principles and procedures designed to safeguard data integrity, reliability and reproducibility. While these documents maybe excessive for clinical studies not intended for regulatory oversight it is important to remember that research builds on research. Thus, the quality and accuracy of all data and inference generated throughout the research enterprise remains vulnerable to the impact of potentially unreliable data generated by the lowest performing contributors. The purpose of this first of a series of statement papers is to outline and reference specific quality control and quality assurance procedures that should, at least in part, be incorporated into all veterinary clinical studies.
url http://link.springer.com/article/10.1186/s12917-017-1153-x
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