TDCC-NES Data Foundry event (ODeDaI project)
Two sessions (morning and afternoon) on Wednesday, July 9.
In the morning session we will explore together how Data Foundry could be scaled up from an infrastructure and devops perspective. After lunch, we will dive into FAIR data practices in session 2 where we will talk about open (research) data and the role Data Foundry can play in supporting Open Science.
Session 1 - Building Data Foundry Infrastructure
The goal of the first session is to figure out how we can get the Data Foundry platform to many more people and organizations, for example, how educators can deploy their own Data Foundry Instance quickly by using existing PaaS/IaaS possibilities.
Session 2 - Facilitating Open Science and Fair Design Data
The goal of the second session is to figure out how we can make design research processes align more with FAIR data principles and figure out what kind of features Data Foundry needs to support fair data principles. Think Process Documentation, Qualitative Data and Artifacts. If you are passionate about open science and FAIR data this is THE opportunity to give us input on how we can make Data Foundry suit your open science needs!
It is also possible to only attend the morning or afternoon session, but please indicate to us whether you want to join us for lunch or drinks.
Agenda:
Session 1
10:00 – 10:30 – Data Foundry Technical Demo
10:30 – 12:30 – Technical session on scaling Data Foundry
12:30 – 13:30 – Lunch
Session 2
13:30 – 14:30 – Design Data Management and FAIR ambitions
14:30 – 16:15 – Defining Data Foundry’s role in Fair DATA
16:15 – 16:30 – Closing and next steps
16:30 – 17:30 – Social Drinks
