Public data and entrepreneurship in the life sciences

ELIXIR welcomed two external experts on entrepreneurship and bio data, Hannes Rothe and Sirkka Jarvenpaa, to Hinxton, Cambridgeshire, to deliver a talk and discussion on the value of public data for entrepreneurs in the life sciences. 

Presenting to a near full room of over forty individuals from EMBL-EBI, the Sanger Institute, the BioData Innovation Centre (BIC) at the Wellcome Genome Campus, as well as external attendees, Hannes spoke about a range of topics including: 

  • How entrepreneurs and scientists can create a business using bio data resources
  • The importance of organising data for digital entrepreneurs to scale up, particularly in the field of genomics
  • The role of research infrastructure providers and what they need to help digital entrepreneurs to align science and business
  • The pros and cons of open data initiatives and data standardisation efforts

You can find a recording of the talk including slides below, and the PDF of the slides that Hannes presented. 

As you will see Hannes mention during his talk, he is running a survey to capture the sentiments of companies on the value of open data. Please do consider filling it in to help expand the understanding in this area.

If this is a topic you find exciting you may wish to read our report on Public data resources as a business model for SMEs. This report covers how open data contribute to innovation and generate business value, and also includes several interesting case-study reports framing the findings in a real-world perspective. An updated version of this report with more in depth insides into the ecosystem will be available in 2020.

Information on the speakers

Hannes Rothe, Assistant Professor for Educational Service Engineering and IT-Entrepreneurship & Founder of the Digital Entrepreneurship Hub, Department of Information Systems, Freie Universität Berlin

Sirkka Jarvenpaa, Professor and Chair in Business Administration, McCombs School of Business, Department of Management Science and Information Systems, University of Texas at Austin

Fri 8 November 2019