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davetaz

ISB1523: Anonymisation Standard for Publishing Health and Social Care Data - NHS Digital - 1 views

  • ISB1523: Anonymisation Standard for Publishing Health and Social Care Data This process standard for publishing health and social care data provides an agreed and standardised approach to anonymisation.
  • Although the law makes a clear distinction between identifying and non-identifying data, where that line should be drawn may be far from clear in practice. That is why this anonymisation standard for publishing health and social care data is needed. This process standard provides an agreed and standardised approach, grounded in the law, enabling organisations to: distinguish between identifying and non-identifying information deploy a standard approach and a set of standard tools to anonymise information to ensure that, as far as it is reasonably practicable to do so, information published does not identify individuals.
fionntan

Publishing with purpose? Reflections on designing with standards and locating user enga... - 0 views

  • Purpose should govern the choice of dataset to focus on Standards should be the primary guide to the design of the datasets User engagement should influence engagement activities ‘on top of’ published data to secure prioritised outcomes New user needs should feed into standard extension and development User engagement should shape the initiatives built on top of data
  • The call for ‘raw data now‘ was not without purpose: but it was about the purpose of particular groups of actors: not least semantic web reseachers looking for a large corpus of data to test their methods on. This call configured open data towards the needs and preferences of a particular set of (technical) actors, based on the theory that they would then act as intermediaries, creating a range of products and platforms that would serve the purpose of other groups. That theory hasn’t delivered in practice
  • They describe a process that started with a purpose (“get better bids on contract opportunities”), and then engaged with vendors to discuss and test out datasets that were useful to them.
  • ...3 more annotations...
  • But in seeking to be generally usable, standard are generally not tailored to particular combinations of local capacity and need. (This pairing is important: if resource and capacity were no object, and each of the requirements of a standard were relevant to at least one user need, then there would be a case to just implement the complete standard. This resource unconstrained world is not one we often find ourselves in.)
  • The Open Contracting Partnership, which has encouraged governments to purposely prioritise publication of procurement data for a number of years now,
    • fionntan
       
      how does the open contracting partnership relate to models?
  • The Open Contracting Partnership, which has encouraged governments to purposely prioritise publication of procurement data for a number of years now,
olivierthereaux

CovidJSON | Standards based GeoJSON data model for infection data - 0 views

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    A proposed data standard (GeoJSON data model) for exchanging data for viral infection tests, contact events used for contact tracing and regional infection statistics. The model is based on OGC/ISO Observations & measurements Standard (OGC O&M, ISO 19156) concepts. Created specifically for recording and exchanging data on SARS-CoV-2 infection tests, but likely applicable also to describing test data for detecting other infectious diseases too.
fionntan

GitHub - reichlab/covid19-forecast-hub: Projections of COVID-19, in standardized format - 0 views

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    The goal of this repository is to create a standardized set of data on forecasts from teams making projections of cumulative and incident deaths and incident hospitalizations due to COVID-19 in the United States.
fionntan

Coronavirus Models Are Nearing Consensus, but Reopening Could Throw Them Off Again - 0 views

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    The researchers say that they are getting better at understanding the dynamics of the pandemic as Americans largely shelter in place, and that improved knowledge may explain the growing consensus of the models. The near-term future of the pandemic is also a little easier to imagine, with deaths flattening instead of growing rapidly. There may be some peer pressure, too. Nicholas Reich, a biostatistician at the University of Massachusetts who has led a project to standardize and compare model outputs, said he worried about the temptation to "herd" outputs. "Probably no one wants to have the really super-outlying low model or the super-outlying high model," he said.
Ben Snaith

NHS tracing app in question as experts assess Google-Apple model | Financial Times - 0 views

  • Health chiefs in the UK have tasked a team of software developers to “investigate” switching its unique contact-tracing app to the global standard proposed by Apple and Google, signalling a potential about-turn just days after the NHS launched its new coronavirus app. 
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