G. van Schaik

From data silos to actionable insights: a comparative evaluation of data access models and practical guidelines for animal health surveillance

Background Effective livestock disease surveillance depends on scalable, privacy-conscious access to distributed diagnostic data, yet current systems are constrained by fragmented datasets, inconsistent formats, and limited interoperability. Objective This paper compares three approaches for accessing distributed anima...