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 the data collection and interpretation. Thanks to these expanding technologies, massive data sets can be recorded and saved in the long term, providing a wealth of information with regards to animal wellbeing, clinical status, baseline activity and subsequent deviations in case of experimental interventions. Such large data sets 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 application of the 3Rs, by enhancing Refinement, Reduction and even Replacement of research in animals.