Case Study

Defining And Implementing Global Data Standards & Governance

Source: ProPharma
GettyImages-1634050535 data, logistics

ProPharma led the implementation of a global data standards and governance program for a large biopharma client, addressing challenges in data standardization and cross-functional coordination. Previously, the company managed separate metadata lists across R&D, with minimal standardization or governance, hindering data quality and efficiency. ProPharma’s approach involved defining data standards, establishing governance structures, and implementing supporting tools, leveraging industry standards and existing data ontologies.

Through workshops, ProPharma collaborated with company stakeholders to identify essential data entities, attributes, and existing terminology sources, resulting in a comprehensive Master Entity Model. This model served as a communication tool and foundation for creating a standardized data catalog. Additionally, ProPharma defined roles such as data stewards to manage scientific data terms and formalized processes, including a change control mechanism, ensuring consistent updates and compliance across teams.

A centralized ontology management system was selected and customized, providing a single source of truth for scientific data standards. The system integrates with other applications, facilitating consistent use of data standards across the company’s R&D platforms. ProPharma’s ongoing support includes governance meetings, change request processing, and updates, promoting widespread adoption of data standards and optimizing R&D operations.

This project enabled the company to treat R&D data as a valuable asset, improving data accessibility, reducing redundancies, and fostering cross-functional collaboration. The centralized ontology supports seamless integration, enhancing the accuracy and value of data for scientific research and development.

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