FAIR Data Spaces: Difference between revisions
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The 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. | The 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. | 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. | But importantly they all have an essential feature in common: [[wikipedia:FAIR data]] principles, which provide common semantics to build interoperable shared data spaces. | ||
===Speaker=== | ===Speaker=== |
Revision as of 09:31, 8 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: wikipedia:FAIR data principles, which provide common semantics to build interoperable shared data spaces. Speaker
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Event Categorization
Session-Type: Technology - Vision - Community - Platform Session-Level: Intermediate - Advanced