diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/404.html b/404.html new file mode 100644 index 00000000..4b97f104 --- /dev/null +++ b/404.html @@ -0,0 +1,1985 @@ + + + +
+ + + + + + + + + + + + + + +We are the NHS England Data Science Team.
+Our vision is:
+++For NHS England to lead on embracing data science in the NHS for the betterment of all our patients and all our staff.
+
Contact Us (datascience@nhs.net) +See our work
+Do
+We develop and deploy data science products to make a positive impact on NHS patients and workforce.
+Delve
+We investigate applying novel techniques that increase the insight we get from health-related data.
+Distinguish
+We prioritise code-first ways of working, transparency and promoting best practice. We champion quality, safety and ethics in the application of methods and use of data.
+Discover
+We have the remit to be open and collaborative and have the aim of sharing products with the wider healthcare community.
+Name | +Role | +Team | +Github | +
---|---|---|---|
Sarah Culkin | +Deputy Director | +Central Data Science Team | +SCulkin-code | +
Rupert Chaplin | +Assistant Director | +Central Data Science Team | +rupchap | +
Jonathan Hope | +Data Science Lead | +Central Data Science Team | +JonathanHope42 | +
Jonathan Pearson | +Data Science Lead | +Central Data Science Team | +JRPearson500 | +
Achut Manandhar | +Data Science Lead | +Central Data Science Team | +achutman | +
Jennifer Hall | +Data Science Lead | +Data Linking Hub | ++ |
Suethar Chung | +Principal Data Scientist (Section Head) | +Central Data Science Team | +simonechung | +
Efrosini Serakis | +Principal Data Scientist (Section Head) | +Central Data Science Team | +efrosini-s | +
Sam Hollings | +Principal Data Scientist | +Central Data Science Team | +SamHollings | +
Daniel Schofield | +Principal Data Scientist (Section Head) | +Central Data Science Team | +danjscho | +
Martina Fonseca | +Principal Data Scientist (Section Head) | +Central Data Science Team | +mbfons | +
Eladia Valles Carrera | +Principal Data Scientist | +Central Data Science Team | +lilianavalles | +
Paul Carroll | +Principal Data Scientist (Section Head) | +Central Data Science Team | +pauldcarroll | +
Elizabeth Johnstone | +Principal Data Scientist (Section Head) | +Central Data Science Team | +LiziJohnstone | +
Nicholas Groves-Kirkby | +Principal Data Scientist (Section Head) | +Central Data Science Team | ++ |
Divya Balasubramanian | +Principal Data Scientist (Section Head) | +Central Data Science Team | +divyabala09 | +
Giulia Mantovani | +Principal Data Scientist (Section Head) | +Data Linking Hub | +GiuliaMantovani1 | +
Angeliki Antonarou | +Principal Data Scientist | +National SDE Data Science Team | +AnelikiA | +
Kevin Fasusi | +Principal Data Scientist | +National SDE Data Science Team | +KevinFasusi | +
Jonathan Laidler | +Senior Data Scientist | +Central Data Science Team | +JonathanLaidler | +
Mia Noonan | +Senior Data Scientist | +Central Data Science Team | +amelianoonan1-nhs | +
Sean Aller | +Senior Data Scientist | +Central Data Science Team | +seanaller | +
Hadi Modarres | +Senior Data Scientist | +Central Data Science Team | +hadimodarres1 | +
Michael Spence | +Senior Data Scientist | +Central Data Science Team | +mspence-nhs | +
Harriet Sands | +Senior Data Scientist | +Central Data Science Team | +harrietrs | +
Alice Tapper | +Senior Data Scientist | +Central Data Science Team | +alicetapper1 | +
Ben Wallace | +Senior Data Scientist | +Central Data Science Team | ++ |
Jane Kirkpatrick | +Senior Data Scientist | +Central Data Science Team | ++ |
Kenneth Quan | +Senior Data Scientist | +Central Data Science Team | +quan14 | +
Daniel Goldwater | +Senior Data Scientist | +Central Data Science Team | +DanGoldwater1 | +
Shoaib Ali Ajaib | +Senior Data Scientist | +National SDE Team | ++ |
Marek Salamon | +Senior Data Scientist | +National SDE Team | ++ |
Adam Hollings | +Senior Data Scientist | +National SDE Team | +AdamHollings | +
Oluwadamiloju Makinde | +Senior Data Scientist | +National SDE Team | ++ |
Joseph Wilson | +Senior Data Scientist | +National SDE Team | +josephwilson8-nhs | +
Alistair Jones | +Senior Data Scientist | +National SDE Team | +alistair-jones | +
Nickie Wareing | +Senior Data Scientist | +National SDE Team | +nickiewareing | +
Helen Richardson | +Senior Data Scientist | +National SDE Team | +helrich | +
Humaira Hussein | +Senior Data Scientist | +National SDE Team | +humairahussein1 | +
Jake Kasan | +Senior Data Wrangler (contract) | +National SDE Team | ++ |
Josh Day | +Senior Data Wrangler (contract) | +National SDE Team | ++ |
Lucy Harris | +Senior Data Scientist | +Meds Team | ++ |
Vithursan Vijayachandrah | +Senior Data Scientist | +Workforce, Training & Education Team | +VithurshanVijayachandranNHSE | +
Warren Davies | +Data Scientist | +Central Data Science Team | +warren-davies4 | +
Sami Sultan | +Data Scientist | +Workforce, Training & Education Team | +SamiSultanNHSE | +
Chaeyoon Kim | +Data Scientist | +Workforce, Training & Education Team | +ChaeyoonKimNHSE | +
Ilja Lomkov | +Data Scientist | +Workforce, Training & Education Team | +IljaLomkovNHSE | +
Thomas Bouchard | +Data Science Officer | +Central Data Science Team | +tom-bouchard | +
Catherine Sadler | +Data Science Officer | +Central Data Science Team | +CatherineSadler | +
William Poulett | +Data Science Officer | +Central Data Science Team | +willpoulett | +
Amaia Imaz Blanco | +Data Science Officer | +Central Data Science Team | +amaiaita | +
Xiyao Zhuang | +Data Science Officer | +Central Data Science Team | +xiyaozhuang | +
Scarlett Kynoch | +Data Science Officer | +Central Data Science Team | +scarlett-k-nhs | +
Jennifer Struthers | +Data Science Officer | +Central Data Science Team | +jenniferstruthers1-nhs | +
Matthew Taylor | +Data Science Officer | +Central Data Science Team | +mtaylor57 | +
Elizabeth Kelly | +Data Science Officer | +National SDE Team | +ejkcode | +
++Reproducible analytical pipelines (RAP) help ensure all published statistics meet the highest standards of transparency and reproducibility. Sam Hollings and Alistair Bullward share their insights on adopting RAP and give advice to those starting out.
+
Reproducible analytical pipelines (RAP) are automated statistical and analytical processes that apply to data analysis. It’s a key part of national strategy and widely used in the civil service.
+Over the past year, we’ve been going through a change programme and adopting RAP in our Data Services directorate. We’re still in the early stages of our journey, but already we’ve accomplished a lot and had some hard-learnt lessons.
+ + + +This is about analytics and data, but knowledge of RAP isn’t just for those cutting code day-to-day. It’s crucial that senior colleagues understand the levels and benefits of RAP and get involved in promoting this new way of working and planning how we implement it.
+This improves the lives of our data analysts and the quality of our work.
+ + + + + + + + + + + + + + + + + + + + + + + +++Reproducible analytical pipelines (RAP) help ensure all published statistics meet the highest standards of transparency and reproducibility. Sam Hollings and Alistair Bullward share their insights on adopting RAP and give advice to those starting out.
+
Reproducible analytical pipelines (RAP) are automated statistical and analytical processes that apply to data analysis. It’s a key part of national strategy and widely used in the civil service.
+Over the past year, we’ve been going through a change programme and adopting RAP in our Data Services directorate. We’re still in the early stages of our journey, but already we’ve accomplished a lot and had some hard-learnt lessons.
+ +++Reproducible analytical pipelines (RAP) help ensure all published statistics meet the highest standards of transparency and reproducibility. Sam Hollings and Alistair Bullward share their insights on adopting RAP and give advice to those starting out.
+
Reproducible analytical pipelines (RAP) are automated statistical and analytical processes that apply to data analysis. It’s a key part of national strategy and widely used in the civil service.
+Over the past year, we’ve been going through a change programme and adopting RAP in our Data Services directorate. We’re still in the early stages of our journey, but already we’ve accomplished a lot and had some hard-learnt lessons.
+ +++Reproducible analytical pipelines (RAP) help ensure all published statistics meet the highest standards of transparency and reproducibility. Sam Hollings and Alistair Bullward share their insights on adopting RAP and give advice to those starting out.
+
Reproducible analytical pipelines (RAP) are automated statistical and analytical processes that apply to data analysis. It’s a key part of national strategy and widely used in the civil service.
+Over the past year, we’ve been going through a change programme and adopting RAP in our Data Services directorate. We’re still in the early stages of our journey, but already we’ve accomplished a lot and had some hard-learnt lessons.
+ +++Reproducible analytical pipelines (RAP) help ensure all published statistics meet the highest standards of transparency and reproducibility. Sam Hollings and Alistair Bullward share their insights on adopting RAP and give advice to those starting out.
+
Reproducible analytical pipelines (RAP) are automated statistical and analytical processes that apply to data analysis. It’s a key part of national strategy and widely used in the civil service.
+Over the past year, we’ve been going through a change programme and adopting RAP in our Data Services directorate. We’re still in the early stages of our journey, but already we’ve accomplished a lot and had some hard-learnt lessons.
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+ * Copyright(c) 2015 Andreas Lubbe
+ * Copyright(c) 2015 Tiancheng "Timothy" Gu
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