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UID:pretalx-wombat-2025-W3K3VM@conf.nectric.com.au
DTSTART;TZID=AEST:20250930T160000
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DESCRIPTION:The Mayi Kuwayu Study is a longitudinal survey and the largest 
 national study of Aboriginal and Torres Strait Islander culture\, health a
 nd wellbeing. I joined the study team last year and have been redeveloping
  the data pipeline to be more transparent\, reproducible\, and easier to m
 aintain. My original plan was to incorporate best practices\, such as usin
 g `targets` and `renv` for ensuring reproducibility and `pointblank` and `
 testthat` for validation and testing\, as well as writing nice code.\n\nIt
  was a good plan\, but it didn't fully consider the people in the study te
 am. Being able to run code from start to finish without error might be rep
 roducible in a technical sense\, but is someone actually reproducing it if
  they don't understand what the code is doing? Code is only reproducible s
 o long as it's maintainable. Since I'm the only experienced R-user (for no
 w)\, each additional package I use is a package someone else has to unders
 tand and runs the risk of making the code less reproducible.\n\nIn this se
 ssion I'll be talking about:\n-   the Mayi Kuwayu Study and team context\n
 -   development of the data pipeline\n-   the role people played in design
  decisions\n-   using the development as an opportunity to upskill my team
DTSTAMP:20260824T020142Z
LOCATION:8.03
SUMMARY:Designing data infrastructure where people come first - Ben Harrap
URL:https://conf.nectric.com.au/wombat-2025/talk/W3K3VM/
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