Establishing a Unified Data Sharing Policy and Ownership Framework
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 regulated organisations structuring ownership and accountability for data sharing?
- What does good practice looks like for a single, coordinated triage or approval process?
- How do organisations ensure governance covers the full lifecycle, including decision‑making, logging, auditability, and ongoing oversight?
- What’s the best approach to bring together specialist inputs into a holistic, consistent model, rather than parallel silo assessments?
Who should attend:
This session is designed for senior data and AI leaders who:
- Are responsible for designing and rolling out data sharing frameworks across the organisation
And
- Operate within complex, international and regulated organisations
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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.
