AUTHOR=Fuochi Sara , Rigamonti Mara , O'Connor Eoin C. , De Girolamo Paolo , D'Angelo Livia TITLE=Big data and its impact on the 3Rs: a home cage monitoring oriented review JOURNAL=Frontiers in Big Data VOLUME=Volume 7 - 2024 YEAR=2024 URL=https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1390467 DOI=10.3389/fdata.2024.1390467 ISSN=2624-909X ABSTRACT=

Undisturbed home cage recording of mouse activity and behavior has received increasing attention in recent years. In parallel, several technologies have been developed in a bid to automate data collection and interpretation. Thanks to these expanding technologies, massive datasets can be recorded and saved in the long term, providing a wealth of information concerning animal wellbeing, clinical status, baseline activity, and subsequent deviations in case of experimental interventions. Such large datasets can also serve as a long-term reservoir of scientific data that can be reanalyzed and repurposed upon need. In this review, we present how the impact of Big Data deriving from home cage monitoring (HCM) data acquisition, particularly through Digital Ventilated Cages (DVCs), can support the application of the 3Rs by enhancing Refinement, Reduction, and even Replacement of research in animals.