Welfare Science

Animal Welfare Data Science and Open Access

Open access to animal welfare research and data accelerates knowledge sharing and advocacy. Data science approaches are transforming welfare monitoring and impact assessment.

Key Facts

The majority of animal welfare research is paywalled, limiting access for practitioners and advocates
Open access preprints including bioRxiv and bioRxiv provide free access to welfare research
Machine learning on welfare assessment data is revealing patterns invisible to manual analysis
Global welfare databases are emerging including the Global Animal Welfare Database
Data science approaches to welfare monitoring enable real-time rather than periodic assessment

Welfare Considerations

Open access to animal welfare science is itself a welfare intervention - research locked behind paywalls cannot inform the farmer practices, policy decisions, and consumer choices that reduce animal suffering. The movement toward open science in welfare research, combined with data science tools for analysis and visualization, creates the information infrastructure needed for evidence-based welfare improvement at scale.

What You Can Do

Support open-access animal welfare journals and preprint sharing in the field
Advocate for open-access requirements in publicly funded animal welfare research
Use welfare data science tools and open datasets to inform your advocacy
Support the development of global welfare databases that enable cross-jurisdictional comparison