This is a draft discussion paper, the first of a series exploring “open team science” approaches to managing health data, and specifically how to create a collaborative computational data science ecosystem where the sharing and re-use of objects such as codelists and code is facilitated, encouraged, recognised, and rewarded. As a microcosm of this we have first explored “codelists”. There are currently no ‘answers’ or preferred solutions given. We will be holding an open discussion with the research community on 2nd March at 3pm - you can book to join us here.
Job Title: Epidemiologist / Health Data Scientist for OpenSAFELY in the DataLab. Salary Range: £41,526 - £49,553, with discretionary range to £54,131. Contract: fixed-term for 18 months in the first instance. Hours: Up to full-time, flexible and part-time working acceptable. Closing Date: Friday 8th January 2021. Interview Date: 21 January 2021. Vacancy ID: 148953 To apply Go to https://www.jobs.ox.ac.uk/ > search all jobs > search by “DataLab” or vacancy ID
Job Title: Platform Lead (Python). Salary: £48,114 to £55,750 per annum, plus market supplement up to £14,095. Contract: Fixed-term for 18 months in the first instance. Hours: Up to full-time, flexible and part-time working acceptable. Closing Date: noon on Monday 11 January 2021. Interview Date: 27/28 January 2021 Vacancy ID: 147140. Apply: www.jobs.ox.ac.uk > search all jobs > search by “DataLab” or vacancy ID The DataLab at University of Oxford are offering a career-defining opportunity to lead product development within a new, significant, open source research platform, initially developed for the COVID19 crisis.
Job Title: Software Developers (2 posts: Python and Frontend/UI) Salary: £41,526 - £54,131 pa, with the possibility of a market supplement up to £2869 Contract: fixed term 18 months Hours: Up to full-time, flexible and part-time working acceptable Closing date: noon on Monday 11 January 2021 Interview date: 27/28th January 2021 Vacancy ID: 148913 Apply: https://www.jobs.ox.ac.uk/ > search all jobs > search by “DataLab” or vacancy ID The DataLab at University of Oxford are offering two career-defining opportunities to work on new, significant, open source research platforms, initially developed for the COVID19 crisis.
We have been very busy since our last newsletter back in July and there are tonnes of exciting updates for you here!
Measure Update: Total Oral Morphine Equivalence The Faculty of Pain Medicine has recently updated their recommendation on oral morphine equivalence (OME) which we use on our OpenPrescribing measure of OME. We have taken this opportunity to update and a new novel implementation of how we assess OME. Until this work is completed we have taken the decision to “suspend” the measure from dashboards however you can still view the old method using this link.
Victory! We have the hospital medicines data. Now: biologic medicines for severe Asthma In July, Ben and Brian wrote a piece in the British Medical Journal arguing that hospital medicines data should be openly shared. Magnificently, the NHS has now made secondary care medicines data (SCMD) available. You can read the full technical specification of the data here but briefly: it is hospital pharmacy stock control data, which is collected and processed by Rx-Info, and is now published on the NHS Business Services Authority website in the NHS dm+d standard we know, love, and have documented well.
This is the code related to our OpenPathology project. Specifically this repo stores ad-hoc analyses, papers, and related research.
The code for the website (and online tool, when developed) are in their own repository.
This is the website code forhttps://openprescribing.net - a Django application that provides a REST API and dashboards for NHS Digital’s GP-level prescribing data and NHS BSA’s Detailed Prescribing Information Report. Information about data sources used on OpenPrescribing can be found here.
This is the code for the OpenSAFELY cohort extractor tool which supports the authoring of OpenSAFELY-compliant research, by:
Allowing developers to generate random data based on their study expectations. They can then use this as input data when developing analytic models. Supporting downloading of codelist CSVs from the OpenSAFELY codelists repository, for incorporation into the study definition Providing tools to understand and visualise the properties of real data, without having direct access to it It is also the mechanism by which cohorts are extracted from live database backends within the OpenSAFELY framework.
This is the repository for the OpenSAFELY job runner. A job runner is a service that encapsulates: the task of checking out an OpenSAFELY study repo; executing actions defined in its project.yaml configuration file when requested via a jobs queue; and storing its results in a particular locations.
The documentation is aimed at developers looking for an overview of how the system works. It also has some parts relevant for end users, particularly the project.