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Anne Fouilloux
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description: Bibliography and other related articles and documents of interest for the Destination Earth Initiative.
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Italy’s Cineca to accelerate Destination Earth’s innovative technology adoption
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DestinE pillars
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NVIDIA - Accelerating Scientific Computing
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FAIR Digital Twins for Data-Intensive Research
author: Anne Fouilloux
creator: Anne Fouilloux
date created: 2023-01-11 08:09:52.086059+00:00
date modified: 2023-01-11 08:09:53.313682+00:00
description: Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine actionable. This methodological overview is a first step toward this clarification. We present a review of previously developed semantic artifacts and how they may be used to compose a higher-order data model referred to here as a FAIR Digital Twin (FDT). We propose an architectural design to compose, store and reuse FDTs supporting data intensive research, with emphasis on privacy by design and their use in GDPR compliant open science.
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