PSI Conference Webinar: In memory of Sally Hollis (former SIG Chair) - 'Data as an Asset, the re-use of data'.

Add to:

Date: Tuesday 9th June 2020     
Time: 14:30 - 16:00
Speakers: Janice Branson (Novartis), Katherine Tucker (Roche), Ceire Costelloe (Imperial College), Rebecca Sudlow (Roche, session moderator)  


This webinar is part of our 2020 Conference Webinar Series. Further information including details of other webinars that are included in the Conference package can be found here.
Members receive all webinars in the conference series for free.
Non-members receive all webinars in the conference series for £100+VAT, which includes complimentary membership* of PSI until the 31st December 2020. 

To register your place for this event, and others in the Conference webinar series, please click here.

Speaker Details:



Session Abstract

Janice Branson,

After post graduate studies at University of Reading U.K., Janice joined Pfizer in UK. In 2001. Janice moved to Novartis, Basel taking on a role in the statistics group supporting early development. Over the last years Janice has had increasing roles of responsibility though leading the global statistics group for Respiratory and Metabolism followed by just over 4 years leading the global analytics group for the Immunology, Hepatology and Dermatology Development Unit. Since October 2019, Janice Branson is the Global Head of Advanced Methodology and Data Science in Clinical Development & Analytics at Novartis. Since early 2013 Janice is the Statistics lead across Novartis on clinical trial data transparency and implementation of Policy 0070. In addition Janice is in the extended leadershipteam of Novartis lighthouse project called data42 aimed at providing frictionless access to Novartis Research and Development data.

What has changed? Why is data now an asset?

Over the last decade we have seen a massive change with regard to data transparency from clinical trials -increase in sharing through CT.gov, EUDraCT as well as many companies and institutions actually allowing access to individual level patient data upon request from researchers. More recently EMA and other Health Authorities have rolled out policies to make documents such as anonymized clinical study reports publicly available. Within Pharma companies we see many initiatives to try to make better use of the wealth of data the companies have and even initiatives to leverage data across companies and from health records in an attempt to have smarter, shorter and more ethical drug development programs. This is all needs to be done taking into account new legal requirements coming from GDPR for example as well as working in the framework of informed consent or anomymizing the data or even exploring newer areas like synthetic data

Katherine Tucker,

Katherine has over twenty years experience in the pharmaceutical industry. Her background is as a clinical trial statistician at Pfizer, Roche and Novartis and also worked for several years as a statistical programming manager at Roche. In more recent years, Katherine led a team at Roche dedicated to fulfilling data sharing requests including data anonymisation. She was part of the original cross-pharma collaboration which led to the creation of the ‘CSDR’ data sharing platform.More recently, Katherine completed a part-time PGCert in Data Protection Law and Information Governance and now has an SME role as ‘Data Privacy Technical Lead’ at Roche. This includes providing expertise on data privacy topics and clinical trials, data anonymisation approaches and regular liaison with legal/data privacy groups. Her hobbies include singing in two choirs.

Internal Data Reuse...or what's data privacy got to do with it?

This session will cover the essential principles that statisticians need to be aware of regarding clinical data and patient privacy (e.g. GDPR) and how data can be re-used responsibly.

Ceire Costelloe,
Imperial College

Céire is a Senior Lecturer in the School of Public Health and Director of the Global digital health unit at Imperial College London. She trained in Medical Statistics after acquiring a PhD in Immunology at Trinity College Dublin. Her work focuses on the use of routinely available healthcare data in the mapping, development and evaluation of interventions targeting infection, infection related illness and antimicrobial resistance across both the UK and global healthcare economy.She leads a team of doctoral and postdoctoral researchers funded through the NIHR, ESRC and the Wellcome trust, addressing key questions in infection related and antimicrobial resistant infection.

She holds a personal NIHR Career Development Fellowship which focuses on evaluating interventions targeting AMR using routinely collected clinical data and causal inference methods.

Using real world data to drive precision medicine across the UK healthcare economy.

The talk will focus on the work of the Global Digital health unit at Imperial College London and our research using primary and secondary care clinical data, with a particular focus on mapping, developing and evaluating interventions targeting healthcare associated infection.

Rebecca Sudlow,

Rebecca Sudlow has been involved in data transparency, particularly with regard to enabling access to patient level datasets for the last 6 years. She worked very closely with GSK to develop the cross-company patient level data sharing platform “clinicalstudydatarequest.com” which launched 01 Jan 2014. The website continues to grow in scope and now enables patient level data requests from 17 organisations. As the Global Lead for Patient Level Data Sharing, her team support both internal and external patient level data sharing activities.Prior to this Rebecca worked for 25 years as a statistician in the pharmaceutical industry (AstraZeneca and then Roche since 1996). She has designed and analysed clinical trials across all phases of Clinical Drug Development and across a variety of disease areas including Virology, Rheumatoid Arthritis and OncologyRebecca is a member of the EFSPI/PSI Data Transparency SIG. Rebecca has a BSc in Applied Statistics and an MSc in Statistics (Sheffield).



Upcoming Events

Latest Jobs