Making Data Governance and Data Quality a Shared Responsibility in Federated R&D Organisations

Join an exclusive peer discussion for senior data and AI leaders.

This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. While the session is designed exclusively for DataIQ clients, we occasionally welcome select guests who bring valuable perspectives to the conversation.

DataIQ clients: Please secure your place via the DataIQ Hub.

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Questions:  

  • How are organisations getting teams to improve data quality for downstream users, not just their own local needs?
  • What approaches have worked to align data standards and ownership across functions that operate independently?
  • How do organisations prepare data for future use cases, including AI, when those requirements are not yet known?

Who should attend:  

This session is designed for senior data leaders who:    

  • Are responsible for improving data quality, governance, or data sharing across multiple functions with different priorities and ways of working and;
  • Work in large, federated organisations where R&D, operational, or business teams create and consume data across organisational boundaries

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Accelerator format:

These are 60-minute panel discussion type events, that allow up to 10 participants to work through a set of questions from the host participant. We curate every panel to ensure the right working group is in place to provide ideas, suggestions and perspectives towards the case. 

In each session you can expect:

  • Prequalified group of experts in the area
  • A round of introductions to each participant (up to 10 people)
  • An in-depth discussion with inputs from cross-industry participants
  • Concrete take-aways and action plan for moving forward

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How to apply if you are not a client:

If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.

DataIQ clients: Please secure your place via the DataIQ Hub.

Request attendance

Local Time

  • Timezone: Europe/London
  • Date: 17 Jun 2026
  • Time: 2:00pm - 3:00pm