FAIR Data Spaces: Difference between revisions
No edit summary |
No edit summary |
||
(2 intermediate revisions by the same user not shown) | |||
Line 7: | Line 7: | ||
Location: Online<br> | Location: Online<br> | ||
Platform: zoom<br> | Platform: zoom<br> | ||
Registration Count / Attendance: 101 / 63 | Registration Count / Attendance: 101 / 63<BR> | ||
Attendees by Geo-Location: [[File:FAIR_Data_Spaces_Attendees_Lotico_2022.jpg|20px]] | |||
Attendees by Geo-Location: [[File:FAIR_Data_Spaces_Attendees_Lotico_2022.jpg| | |||
</FONT> | </FONT> | ||
<p> | |||
<center><youtube>hXlz3gc6KNQ</youtube></center> | <center><youtube>hXlz3gc6KNQ</youtube></center> | ||
===Description=== | ===Description=== |
Latest revision as of 09:18, 22 November 2022
FAIR Data Spaces Now!
Date: 11/17/2022 Time: 5pm Berlin and Zurich / Dublin and London 4pm / 11am New York / 8am San Francisco
DescriptionThe ability to exchange data is becoming more important in many aspects of professional and social life - in research, mobility, health, energy, social media, and many more. Hence efforts are underway to develop reliable infrastructure for data spaces - in Europe, this includes common shared data spaces such as GAIA-X, the European Open Science Cloud, the German National Research Data Infrastructure (NFDI), just to name a few. But importantly they all have an essential feature in common: FAIR data principles, which provide common semantics to build interoperable shared data spaces. Speaker
|
Registration
External References
Event Categorization
Session-Type: Technology - Vision - Community - Platform Session-Level: Intermediate - Advanced