Number of the records: 1  

INFRAFRONTIER quality principles in systemic phenotyping

  1. 1.
    0554550 - ÚMG 2023 RIV US eng J - Journal Article
    Ehlich, H. - Cater, H. - Flenniken, A.M. - Goncalves Da Cruz, I. - Mura, A. - Ntafis, V. - Raess, M. - Selloum, M. - Stoeger, C. - Suchanová, Šárka - Vuolteenaho, R. - Brown s, S.D.M. - Herault, Y. - Hinttala, R. - Hrabe de Angelis, M. - Kollias, G. - Kontoyiannis, D.L. - Malissen, B. - McKerlie, C. - Sedláček, Radislav - Wells, S. - Zarubica, A. - Rozman, Jan - Sorg, T.
    INFRAFRONTIER quality principles in systemic phenotyping.
    Mammalian Genome. Roč. 33, č. 1 (2022), s. 120-122. ISSN 0938-8990. E-ISSN 1432-1777
    R&D Projects: GA MŠMT(CZ) LM2018126
    Research Infrastructure: CCP II - 90126
    Institutional support: RVO:68378050
    Keywords : quality control * phenotyping * animal model * reproducibility * replicability * ethics
    OECD category: Genetics and heredity (medical genetics to be 3)
    Impact factor: 2.5, year: 2022
    Method of publishing: Limited access
    https://link.springer.com/article/10.1007/s00335-021-09892-2

    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.
    Permanent Link: http://hdl.handle.net/11104/0329526

     
     
Number of the records: 1  

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