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NHS Data Science Community for Heath and Care

The NHS Data Science Community board will meet monthly. It will govern and provide a check and challenge function on project teams and will act as the parent group to any future sub-committees and technical advisory groups that form.

Current Members:

  • Alex Cheung - NHSE/I
  • John O'Connell - NHS South, Central and West Commissioning Support Unit
  • Suki Panesar - NHSE/I
  • Julia Wilkins - The Health Economics Unit
  • David Sgorbati - The Health Economics Unit
  • Tom Parnell - The Health Economics Unit

Principles and aims of the Data Science Community

  • Promote the use of data science in the NHS by celebrating success and recognising contributions across the community
  • Highlight best practice with regard to software, IT operations, security, and open-source code
  • Open source and publish code to public GitHub repositories under appropriate licences alongside suitable open datasets or synthetic data so that our work can be further developed, re-used, and improved upon by everyone in the community
  • Break down silos of expertise and improve technical communication and collaboration across the NHS, health and social care sectors
  • Champion diversity, inclusion, and representation in tech by making Data Science accessible to all members of the community regardless of background or current level of ability

Communities of Practice

We are keen to support new communities of data science practice and the development of existing networks. Please get in touch if you would like support with your data science community of practice. – please email