1. INFRAFRONTIER quality principles in systemic phenotyping
- Author
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Ehlich, H. (Hilke), Cater, H. L. (Heather L.), Flenniken, A. M. (Ann M.), Goncalves Da Cruz, I. (Isabelle), Mura, A.-M. (Anne-Marie), Ntafis, V. (Vasileios), Raess, M. (Michael), Selloum, M. (Mohammed), Stoeger, C. (Claudia), Suchanova, S. (Sarka), Vuolteenaho, R. (Reetta), Brown, S. D. (Steve D. M.), Hérault, Y. (Yann), Hinttala, R. (Reetta), Hrabě de Angelis, M. (Martin), Kollias, G. (George), Kontoyiannis, D. L. (Dimitris L.), Malissen, B. (Bernard), McKerlie, C. (Colin), Sedláček, R. (Radislav), Wells, S. E. (Sara E.), Zarubica, A. (Ana), Rozman, J. (Jan), Sorg, T. (Tania), Ehlich, H. (Hilke), Cater, H. L. (Heather L.), Flenniken, A. M. (Ann M.), Goncalves Da Cruz, I. (Isabelle), Mura, A.-M. (Anne-Marie), Ntafis, V. (Vasileios), Raess, M. (Michael), Selloum, M. (Mohammed), Stoeger, C. (Claudia), Suchanova, S. (Sarka), Vuolteenaho, R. (Reetta), Brown, S. D. (Steve D. M.), Hérault, Y. (Yann), Hinttala, R. (Reetta), Hrabě de Angelis, M. (Martin), Kollias, G. (George), Kontoyiannis, D. L. (Dimitris L.), Malissen, B. (Bernard), McKerlie, C. (Colin), Sedláček, R. (Radislav), Wells, S. E. (Sara E.), Zarubica, A. (Ana), Rozman, J. (Jan), and Sorg, T. (Tania)
- Abstract
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.
- Published
- 2022