Wednesday 19 April, 2023, Utrecht (the Netherlands)

Informed decisions on medical data can be facilitated through a data-driven understanding of scientific questions. This does not only involve design and analysis of studies, but also effective communication of results. Nowadays, there is an increased interest in communication and visualisation of results, as witnessed by the installation of various working groups, including the EFSPI Special Interest Group on Data Visualisation. In addition, within-company initiatives aiming at the impact of quantitative scientists on decision-making have been taken.

The Netherlands Pharmaceutical Statistics and Data Management (PSDM) group and the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI) are organizing this joint meeting to present current views on Data Visualisation, including a hands-on workshop.

Program

Face-to-face (09:00-12:00)

EFSPI special interest group (SIG) on data visualisation
Workshop on data visualisation

Live in-person presentations (13:00-17:00) (scroll further down for abstracts)

• Maarten Boers (Amsterdam UMC, Netherlands)
  Introduction to Data Visualisation: Creating Tables and Graphs That Work
• Stefan Döring and Benjamin Lang (Boehringer-Ingelheim, Germany)
  From Customer-centric User Research to Data Visualization App: A Journey of Developing Modules to Support Exploratory Biomarker Analysis
• Mark Baillie (Novartis, Switzerland)
  How can we make better graphs? Lessons learned from a company wide data visualisation initiative
• Bodo Kirsch (Bayer and SIG, Germany)
  Case study in data visualisation

Speakers and organisers
Panel Discussion

Venue

Danone Nutricia Research
Uppsalalaan 12
Utrecht
the Netherlands

Registration

Please register at efspi.psdm.dataviz@gmail.com

In-person attendance fee € 125,-
Virtual attendance fee € 25,-

CLOSING date is Friday 7 April

Please add this meeting in your own calendar

Further information

Please refer to the event flyer for practical information, logistics, and travel instructions.

For information regarding registration and/or the scientific content, please feel free to contact any one of the organizers:

Corine Balje (c.balje@clin-q.com)
Egbert Biesheuvel (Egbert.Biesheuvel@viatris.com)
Alexandra James (ajstatistics@gmail.com)
Paul Vervuren (Paul.Vervuren@danone.com)
Pierre Verweij (pierre.verweij@idorsia.com)

Abstracts

Workshop on data visualisation

The workshop “How to make better visualization of data to inform decisions” has been developed by “The Effective Statistician” in collaboration with the PSI/EFSPI Special Interest Group on Data Visualisation. It has been held for various audiences over the last years with very positive feedback.

The aim of the workshop is to help focusing on the right questions to generate an effective and informative visualization. It is a training on the main concepts of the basic ‘gestalt’ principles and visual perception. In between the audience will be divided into small groups for hands-on exercises using pen and paper. No laptops or tablets are needed and no programming skills are required! This workshop is for anyone who wants to improve its visualization skills and understanding of graphical principles, specifically data scientists, statisticians, analysts and people reporting data.

Maarten Boers (Amsterdam UMC, Netherlands)

Introduction to Data Visualisation: Creating Tables and Graphs That Work

Stefan Döring and Benjamin Lang (Boehringer-Ingelheim, Germany)

From Customer-centric User Research to Data Visualization App: A Journey of Developing Modules to Support Exploratory Biomarker Analysis

The process of developing modules to support exploratory biomarker analysis involves multiple stages: user research, prototyping and testing throughout multiple iterations. In this presentation, we will share our journey of building a data visualization app that facilitates biomarker analysis for researchers in the pharmaceutical industry. We will discuss our customer-centric approach to user research and how it influenced the design of the app’s modules. By understanding the needs of our users, we were able to develop features that enable efficient data exploration and analysis. We will also demonstrate the app’s visualization capabilities and explain how they enhance the analysis of complex biomarker data sets. Our goal is to provide a platform that empowers researchers to uncover valuable insights and accelerate the development of life-saving treatments.

Mark Baillie (Novartis, Switzerland)

How can we make better graphs? Lessons learned from a company wide data visualisation initiative

Data visualisation is at the core of exploring and understanding data, communicating results and conclusions, and supporting decision-making. Increasing our graphical expertise can strengthen our impact as professional statisticians and quantitative scientists. By using the right graphical principles, we can better understand data, highlight core insights and influence decisions toward appropriate actions. Without it, we can fool ourselves and others and pave the way to wrong conclusions and actions. This talk will provide an overview of a concerted effort to improve the way we develop and consume graphics at Novartis. We present the initiative motivation and guiding principles, before describing seven work packages in more detail and the lessons learned from the experience.

Bodo Kirsch (Bayer and SIG, Germany)

Case study in data visualisation