Newsletter | January 11, 2021

01.11.21 -- Top 5 Risks That Can Compromise Your Life Sciences Data

Top 5 Risks That Can Compromise Your Life Sciences Data

Keeping clinical trial data secure and compliant is paramount. Restricting access to only those that need it is an essential first step, but there is much more that needs to be done. To help you in your journey, here is a list of five common ways that trial data put us in jeopardy and approaches you can take to avoid these risks.

Top 5 Remote Work And Data Security Risks In Life Sciences

Remote work increases the level of difficulty of proper data governance and security to prevent attacks such as hacks, ransomware, and data carelessness. Read how to mitigate the risks associated with the human side of data governance and information security.

Protecting Critical Content: Securing Unstructured Data Assets In Pharma

The safety of business content is a top priority for every company. Especially at a time when data breaches and other cyberattacks threaten the stability of our systems, protecting our data is an essential corporate function. Learn how to make security improvements to minimize the risk of internal and external threats to content by weaving content intelligence and data governance into every layer of the file sharing and collaboration architecture.

GxP Risk Assessment For Computerized Systems

In GxP environments, validating and documenting mission-critical systems is required to ensure the integrity of data and audit readiness. Yet, given the number of systems used, it is unclear which electronic systems require validation and which do not. This checklist provides a framework for evaluating which software should or should not be validated.

Best Practices For 21 CFR Part 11 And GxP Validation For Electronic Records

Drug development has dramatically changed over the past ten years. A practice once dominated by pen and paper has since transitioned to computerized systems, cloud software, and artificial intelligence. This article chronicles recent technological trends, specific challenges these trends pose for quality and computer system validation (CSV) teams, and best practices for tackling resulting compliance issues.

The Real Science Behind Data Quality In Pharma

Assessing data quality is not always simple. There are numerous variables to consider. To make it easier to fine-tune these considerations for all business requirements, they are outlined here.

Why Life Sciences Needs The Science Of Security

Given the complexities that arise when securing data in drug development and developing software that facilitates common workflows, ensuring best-of-breed security simultaneously is the key to success.