Audit logs are snapshots. Lineage is the chain between them. How to build data lineage into a regulated SCE delivery layer using CloudTrail, a transformation ledger, and OpenTelemetry.

SFTP is the default, but vendors deliver clinical data many ways. Here's how to build a protocol-agnostic data delivery layer that preserves audit trails, immutability, and identity attribution across SFTP, API, direct S3, and managed file transfer.

Why standardising vendor onboarding — path conventions, access isolation, IaC credentialing — is what keeps event-driven ingestion pipelines clean as new CROs and studies get added over time.

Getting clinical data to your SFTP endpoint is the easy part. How the file is handled from the moment it lands is what determines whether the audit trail emerges from the system itself or has to be produced after the fact.

From raw materials to final drug quality, see how real-time production monitoring improves compliance and efficiency in the pharma industry.

Pharma is embracing open-source tools like R for clinical trials and submissions. See how companies are making the shift.

Explore a decade of Shiny in action with insights from ShinyConf24. Learn how Shiny has evolved, its impact on data science, and real-world applications.

Explore how risk-based GxP validation transforms pharmaceutical operations through real industry case studies.

How can pharma companies modernize statistical computing? ERA Sciences' AWS implementation shows the path to GxP compliance.

Novo Nordisk, Roche, GSK, Johnson & Johnson: the biggest names in pharma have moved off SAS. This post breaks down what's actually driving that shift, what open source delivers beyond cost savings, and what separates a successful transition from one that stalls.

Optimize your R Shiny app with advanced caching strategies for faster response times and improved user experience.

Our favorite moments from posit::conf 2024—new tools, Shiny updates, and inspiring talks that are shaping the future of data science.