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INFRAFRONTIER quality principles in systemic phenotyping
Mammalian Genome ( IF 2.7 ) Pub Date : 2021-07-30 , DOI: 10.1007/s00335-021-09892-2
Hilke Ehlich 1 , Heather L Cater 2 , Ann M Flenniken 3, 4 , Isabelle Goncalves Da Cruz 5 , Anne-Marie Mura 6 , Vasileios Ntafis 7 , Michael Raess 1 , Mohammed Selloum 5 , Claudia Stoeger 8 , Sarka Suchanova 9 , Reetta Vuolteenaho 10 , Steve D M Brown 11 , Yann Hérault 5 , Reetta Hinttala 10, 12 , Martin Hrabě de Angelis 1, 8, 13, 14 , George Kollias 7 , Dimitris L Kontoyiannis 7 , Bernard Malissen 6 , Colin McKerlie 15, 16 , Radislav Sedláček 9 , Sara E Wells 2 , Ana Zarubica 6 , Jan Rozman 9 , Tania Sorg 5
Affiliation  

Improving reproducibility and replicability in preclinical research is a widely discussed and pertinent topic, especially regarding ethical responsibility in animal research. INFRAFRONTIER, the European Research Infrastructure for the generation, phenotyping, archiving, and distribution of model mammalian genomes, is addressing this issue by developing internal quality principles for its different service areas, that provides a quality framework for its operational activities. This article introduces the INFRAFRONTIER Quality Principles in Systemic Phenotyping of genetically altered mouse models. A total of 11 key principles are included, ranging from general requirements for compliance with guidelines on animal testing, to the need for well-trained personnel and more specific standards such as the exchange of reference lines. Recently established requirements such as the provision of FAIR (Findable, Accessible, Interoperable, Reusable) data are also addressed. For each quality principle, we have outlined the specific context, requirements, further recommendations, and key references.



中文翻译:

系统表型分析中的 INFRAFRONTIER 质量原则

提高临床前研究的可重复性和可复制性是一个广泛讨论的相关话题,尤其是在动物研究中的伦理责任方面。INFRAFRONTIER 是欧洲研究基础设施,负责哺乳动物基因组模型的生成、表型分析、存档和分发,它正在通过为其不同服务领域制定内部质量原则来解决这个问题,这为其运营活动提供了质量框架。本文介绍了系统表型分析中的 INFRAFRONTIER 质量原则转基因小鼠模型。总共包括 11 条关键原则,从符合动物试验指南的一般要求,到需要训练有素的人员以及更具体的标准,例如参考线的交换。还解决了最近建立的要求,例如提供 FAIR(可查找、可访问、可互操作、可重用)数据。对于每项质量原则,我们都概述了具体背景、要求、进一步建议和主要参考资料。

更新日期:2021-07-30
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