Join Us for the FAIRDOM Webinar Series

Skip to first unread message

Natalie Stanford

Jul 20, 2016, 6:21:09 AM7/20/16
Dear all, 

If you are a student, researcher, project investigator, lab manager, institution, publisher, data provider… or anyone interested in data and model management, join us for FAIRDOM’s final webinar of its 2016 series on Monday 25th July at 2pm BST. Our guest speaker is Martin Scharm from the Dept. of Systems Biology and Bioinformatics, at the University of Rostock. Martin will be talking on Challenges in model management” (  To register for the webinar please follow the links in the flyer below or head to  

If you missed our fourth webinar with guest speaker Neil Swanston you can view it here: 

We look forward to seeing you there.

Natalie J Stanford, PhD
Postdoctoral Researcher,
Systems Biology.
University of Manchester, UK.

FAIRDOM Webinar Series

Join us for a webinar on Jul 25, 2016 at 2:00 PM BST.

Register now!

Welcome to FAIRDOM's 2016 series of Webinars for Data and Model management Practice in Interdisciplinary Life Sciences. These webinars will interest students, researchers, project investigators, lab managers, institutions, publishers, data providers… anyone with data or models to manage. 

Join us for our Final webinar of the season: 

25th July 2016 
14.00 - 14.45 BST 

Martin Scharm, 
Dept. of Systems Biology and Bioinformatics, 
Ulmenstrasse 69 (building 3, 3rd floor) 
18057 Rostock, Germany 

“Challenges in model management”. 

Past Guests 
1st February - Steven Wiley 
29th February - Brett Olivier 
25th April - Phillipe Rocca Serra 
27th June - Neil Swainston 

To view our webinar series please head to our website 

Brought to you by FAIRDOM: Supporting fair data and model management for Interdisciplinary Life Sciences. A joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE.

After registering, you will receive a confirmation email containing information about joining the webinar.

View System Requirements

Reply all
Reply to author
0 new messages