Developers, integrators and end users
Webinar programme (1hr)
Introduction to the service (25 mins)
Use Cases (5 mins)
Demo/tutorial (15 mins)
Q&A (15 mins)
Description about the presentation
openRDM.eu provides FAIR research data management. It offers research data management as a service to the scientific community, based on the powerful openBIS platform. The service is available as a preview version containing an openBIS instance. Preview is intended for end-users to learn service & eventually plan on-premise and/or, own cloud based deployment. Alternatively, self-hosting using local IT infrastructure at the respective institution can also be agreed. Consulting & support for on-premise and/or own cloud based deployment of openBIS is also offered along with user support including data model generation, to be able to import data into openBIS & training for the use of openBIS as a data management platform.
We will give a presentation about the service, with openBIS as a data research management platform and briefly discuss some use cases.
OpenBIS is designed to facilitate robust data management for a wide variety of experiment types and research subjects. It allows tracking, annotating, and sharing of data throughout distributed research projects in different quantitative sciences.
Data Expert, ETH Zurich
Priyasma Bhoumik holds a PhD in Computational Sciences, from University of South Carolina, USA. She has worked as a Gates Fellow in Harvard Medical School to explore computational approaches to understanding the immune selection mechanism of HIV, for better vaccine strategy. She moved to Switzerland to join Novartis and has worked in the pharma industry in the field of data science before joining ETHZ.