Organizations governed by FDA must adhere to strict requirements relative to data being captured, analyzed, reported or stored on computer systems. As such, organizations must be able to manage the data effectively, realize value from it, minimize the cost, complexity and risk associated with maintaining it, and ensure that all FDA compliance requirements are met.
As decision making is a key area of interest in the regulated world, companies must be able to establish clear rules for managing source data used in critical regulatory decisions. Given the complexity of the data involved, and the compliance requirements mandated by FDA, organizations operating in this environment must have a formal system of governance.
Organizations continue to be more data-driven, meaning effective data governance is essential to providing trusted, timely, high-quality data consistently to all users. Creating a data governance initiative can be a daunting task, leaving companies feeling overwhelmed, but there are best practices that can get you started quickly down the road to success by providing a framework with the necessary depth, breadth and flexibility to overcome common pitfalls.
We will discuss the importance of establishing a data governance framework and program for data that is collected, analyzed, stored or reported using a computer system subject to FDA regulations. A data governance framework is a logical structure for classifying, organizing and communicating complex activities involved in making decisions about and taking action on enterprise data. As data governed by FDA must adhere to the principles of Computer System Validation (CSV), System Development Life Cycle (SDLC) Methodology, and Electronic Records and Signatures (21 CFR Part 11), as applicable, we will look at ways to leverage these in developing an overall data governance framework and program.
Areas Covered in the Session :
Linking data governance activities and investments to corporate drivers, strategies and compliance
Establish data governance program objectives, decision-making organizational structures and assigned roles and responsibilities that fit within the organizational culture
Understand the role of data owners vs. data stewards
Understand the criticality of data identity, trust, security, integrity, accessibility, reliability and consistency
Designing data governance processes that encompass people, processes and technology
Understand the policies and procedures necessary to support the data governance framework
Who Should Attend:
This webinar is intended for those working in the FDA-regulated industries, including pharmaceutical, medical device, biological, animal health and tobacco. Functions that are applicable include research and development, manufacturing, Quality Control, distribution, clinical testing and management, adverse events management and post-marketing surveillance.
You should attend this webinar if you are responsible for planning, executing or managing the implementation of any system governed by FDA regulations, or if you are maintaining or supporting such a system. Examples of who will benefit from this webinar include:
Information Technology Analysts
Information Technology Developers and Testers
QC/QA Managers and Analysts
Analytical Chemists
Compliance and Audit Managers
Laboratory Managers
Automation Analysts
Computer System Validation Specialists
GMP Training Specialists
Business Stakeholders/Subject Matter Experts
Business System/Application Testers
This webinar will also benefit any consultants working in the life sciences industry who are
involved in computer system implementation, validation and compliance.