Data Integrity in Life Sciences
Regulators have high expectations regarding Data Integrity (DI) in the life sciences sector. Good data practices must be applied to processes embedded in computerised systems and automated systems, but also to data storage in the cloud and to paper-based processes. Any regulated life sciences company needs to make strategic decisions about the management of its […]
