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NESSTAR and Eastern Public Health Observatory (erpho) Julian Flowers.

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Presentation on theme: "NESSTAR and Eastern Public Health Observatory (erpho) Julian Flowers."— Presentation transcript:

1 NESSTAR and Eastern Public Health Observatory (erpho) Julian Flowers

2 Outline What PHOs do Where does NESSTAR fit in? Implementing NESSTAR in PHOs – issues Where next…?

3 PHOs Regional bodies – NHS/DH funded Serve public health community by improving access to data/ information/ expertise Cataloguing data sources => metadata Informatics = languages/ controlled vocabulary/ taxonomy etc… Interoperability = eGMS/ standards Data production/ secondary analysis Reports Education and training

4 Who are our users? Primarily –Ourselves –Information analysts in PCTs/ SHAs etc –Directors of Public Health and their teams Secondarily –Other health staff –Non-NHS –Academics –DH –The public….

5 erpho and data Trying to improve access to routinely available data Initially developed website as a catalogue of datasets i.e. database of metadata => signposting function Access to microdata from a variety of sources =>Increasingly asked to provide data and analysis Need tools to improve both access to and accessibility of information

6 NESSTAR – why we chose it Ability to publish micro-data AND cubes Ability to handle large datasets User friendly interface Metadata Searching within the server e.g. for variables – makes analyses much easier => Improves both access and accessibility of datasets

7 Implementation Customisation Bespoke version of server Linked in to PHORMS – PHO website for –Resource discovery –Studies and variables published on server searchable through the website –Access control Uses an authentication service for “one-stop” password and user ID control Used PHITS catalogue Data preparation Training

8 What is published where Use specialist catalogue for health data Publish data from a variety of sources –Republish routinely available data from national bodies –PHOs have access to record level data Publish analyses of hospital activity, mortality etc. Also anonymised extracts of datasets for selected users

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13 Issues Disclosure and disclosure management Access control = needs to vary by user and by dataset –Data in public domain should be unrestricted –Data not in public domain but publishable should be unrestricted (FOI) –Data not in public domain but not routinely publishable should have restricted access, disclosure control… Access control = how?

14 Issues (2) Catalogue flexibility Searching through the web vs. searching on the server URLs Speed Complexity of some of the variables Data preparation Cubes versus “studies” – can do different things with each and may need to publish in both forms…

15 Where next? Revamping links between server and website Revamp health catalogue – needs to be more flexible Retaining existing access control ? Mapping More user friendly interaction Careful consideration of what we publish in what form to whom


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