Fuochi, Sara; Rigamonti, Mara; O'Connor, Eoin C; De Girolamo, Paolo; D'Angelo, Livia (2024). Big data and its impact on the 3Rs: a home cage monitoring oriented review. Frontiers in big data, 7(1390467) Frontiers 10.3389/fdata.2024.1390467
|
Text
fdata-07-1390467.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (163kB) | Preview |
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.
Item Type: |
Journal Article (Review Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Faculty Institutions > Experimental Animal Center (EAC) |
UniBE Contributor: |
Fuochi, Sara |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2624-909X |
Publisher: |
Frontiers |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
05 Jun 2024 08:03 |
Last Modified: |
06 Jun 2024 14:09 |
Publisher DOI: |
10.3389/fdata.2024.1390467 |
PubMed ID: |
38831953 |
Uncontrolled Keywords: |
big data home cage monitoring reduction refinement replacement |
BORIS DOI: |
10.48350/197552 |
URI: |
https://boris.unibe.ch/id/eprint/197552 |
Actions (login required)
 |
Edit item |