Pistoia Alliance Community of Interest - Data Governance

Today, as technology breeds technology, the ability to collect data about therapeutics and their use in the “real world” increases exponentially. New therapeutic R&D capabilities create and collect data from the microbiome, increasingly powerful and varied omics technologies, multiple imaging systems, and wearables. Indeed, social media plays a significant role. Real-World Data about therapeutics, obtained in the wider community, increasingly is seen as a valuable resource to understand the effectiveness of a drug in real day-to-day use rather than its safety and efficacy identified in carefully controlled randomised trials.

The industry is seeking to recruit data scientists to help it make sense of this data coming to the industry with volume, variety, velocity, and variable veracity to improve the efficiency and effectiveness of biopharma R&D. The data scientists perceive that AI/ML technologies can help bring understanding in this increasingly data-rich environment. However, for these AI/ML tools to be effective, they must have FAIR-enabled, machine-ready, and machine-actionable access to data. 

This Pistoia Alliance Data Governance Community of Interest will seek to identify best practices, including management structures, signpost the relevant data standards, identify state-of-the-art tools, and provide exemplar use cases that demonstrate the RoI that can be realised by implementing good data governance.

Key Questions: 

• How should Data Governance best be organised and led?

• How do we bring Data Governance and Analytics closer together? 

• How might we address the culture change required for good Data Governance? 

Community of Interest discussion topics include but are not limited to:

• Data management models (centralized vs. decentralized)

• How to recruit and/or train the right people

• How to ensure cross-company collaboration

• How to create and manage data as an asset and create an organization and infrastructure to support it

• How to combine long term strategy with short term tactics

• The role of tools and service providers in the establishment of good Data Governance

• How do we manage Data Governance in the lab?

• How do we address cross-enterprise data governance needs (e.g., between big pharma and CROs)?

Community of Interest discussion outcomes will include:

• Prioritized list of use-cases where good Data Governance can add value.

• Prioritized list of pre-competitive enablers / best practices that can add value. 

• The identification of common problems, amenable to common solutions, leading to the creation of Pistoia Alliance projects

Contact details:-

john.wise@pistoiaalliance.org