An interdisciplinary Digital Twin Engine for science

Informations projet

interTwin

N° de convention de subvention: 101058386

DOI

10.3030/101058386

Projet clôturé

Date de signature de la CE 26 Mai 2022

Date de début 1 Septembre 2022

Date de fin 31 Août 2025

Financé au titre de

• Research infrastructures

Coût total

€ 11 731 666,75

Contribution de l’UE

€ 11 731 664,96

Coordonné par

STICHTING EGI
Netherlands

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Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (20)

First Architecture design and Implementation Plan

Requirements gathering and definition of the DTE core architecture. Includes the definition of the development plan for a set of core services for DTE

Report on requirements and core modules definition

Requirements gathering and definition of a comprehensive set of core modules for DTs

Communication, Dissemination and Engagement Plan

The document will provide an in-depth description of how project results, developments and branding will be communicated as well as engagement with the targeted audiences, a clear dissemination strategy, and the description of promotion, consultancy, outreach, training and co-design activities. The document will also provide a dissemination plan.

First Data Management Plan

The document specifies how project publications and data will be collected, processed, monitored, catalogued, and disseminated during the project lifetime

Communication, Dissemination and Engagement Activity Report and Updated Plan

This document provides an update on the communication, dissemination and engagement activities and plans as defined in D2.1.

First Architecture design of the DTs capabilities for climate change and impact decision support tools

Design description of the DT capabilities modules for climate change and impact decision support tools

First version of the DTs capabilities for climate change and impact decision support tools

First version of DTs capabilities implemented for climate change and impact decision support tools , related documentation and validation reports

Updated report on requirements and thematic modules functionalities for the physics domain

Requirements updated and updated thematic module functionalities for the physics domain

First Architecture design of the DTs capabilities for High Energy Physics, Radio astronomy and Gravitational-wave Astrophysics

Design description of the DT capabilities for High Energy Physics, Radioastronomy and Gravitational-wave Astrophysics

Updated report on requirements and thematic modules functionalities for the environment domain

Requirements updated and updated thematic module functionalities for the environment domain

Report on requirements and thematic modules definition for the physics domain first version

Requirements gathering and definition of a comprehensive set of thematic modules for the physics domain

Final Architecture design update based on the first experiences

Final version of the architecture including the report about the first integration experiences.

Report on requirements and thematic modules definition for the environment domain

Requirements gathering and definition of a comprehensive set of thematic modules for the environment domain

Interoperability protocols for data, metadata and workflow semantics across disciplines and research infrastructures report

Report on guidelines, specifications, gap analyses, interoperability requirements for data, metadata and workflow management

First version of the thematic module for for High Energy Physics, Radioastronomy and Gravitational-wave Astrophysics

First version of DTs capabilities implemented for High Energy Physics, Radioastronomy and Gravitational-wave Astrophysics, related documentation and validation reports

DTE blueprint architecture, functional specifications and requirements analysis second version

Digital Twin Engine conceptual model, functional specifications of its Infrastructure, Core and Thematic modules and overview of requirements

DTE blueprint architecture, functional specifications and requirements analysis first version

Digital Twin Engine conceptual model, functional specifications of its Infrastructure, Core and Thematic modules

Innovation Management and Exploitation Plan

The document provides a definition of the innovation processes, guidelines and instruments to be used to be followed within the project. This document also specifies activities regarding Key Exploitable Results including aspects such as the definition, value proposition, IP management, exploitation path and activities and adoption.

Updated report on requirements and core modules functionalities

Requirements updated and update core module functionalities

Innovation Management and Exploitation Report and Updated Plan

The document provides an update of the innovation processes, guidelines and instruments along with the exploitation activities and plans as defined in D2.2. This report also includes an initial business model analysis and sustainability plan.

Other (5)

First DTE Infrastructure software release

Status of the development and integration of all WP5 software products available with the first release

First version of the thematic module for the environment domain

Status of the development and integration of all WP7 software products for the environment domain available with the first release

First release of the DTE core modules

Status of the development and integration of all WP6 software products available with the first release

DTE First software release

DTE Infrastructure, Core and Thematic software products First Release

First version of the thematic module for the physics domain

Status of the development and integration of all WP7 software products for the physics domain available with the first release

Publications

Conference proceedings (9)

The interTwin Digital Twin Engine: Discover the Physics Use Cases

Auteurs: Manzi, Andrea; Tsolaki, Kalliopi; Komijani, Javad; Pidopryhora, Yurii; Asprea, Lorenzo
Publié dans: 2025
Éditeur: Zenodo
DOI: 10.5281/zenodo.12542185

Detection and Characterization of Climate Extremes with Deep Learning

Auteurs: Durif, Anne; Pagé, Christian
Publié dans: Crossref, 2025
Éditeur: EGU
DOI: 10.5194/EGUSPHERE-EGU24-5352

A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows

Auteurs: Fiore, Sandro; Rampazzo, Mattia; Elia, Donatello; Sacco, Ludovica; Antonio, Fabrizio; Nassisi, Paola
Publié dans: IEEE Explore, 2023
Éditeur: IEEE
DOI: 10.1109/bigdata59044.2023.10386983

Empowering Science through Digital Twins: The interTwin project

Auteurs: Manzi, Andrea
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.13936808

A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows

Auteurs: Fiore, Sandro; Rampazzo, Mattia; Elia, Donatello; Sacco, Ludovica; Antonio, Fabrizio; Nassisi, Paola
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.1109/BigData59044.2023.10386983

Communicating Uncertainty in Natural Hazard Digital Twins

Auteurs: Schobben, Martin
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.13937829

The interTwin project: Building and Managing Scientific Digital Twins

Auteurs: Manzi, Andrea
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.14009090

Enabling open science in Europe with data, software and the compute continuum

Auteurs: Ferrari, Tiziana
Publié dans: 2022
Éditeur: Zenodo
DOI: 10.5281/zenodo.7185628

A novel approach for a Digital Twin to explore future climate extremes to assess impacts

Auteurs: Pagé, Christian; Durif, Anne
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/zenodo.12795676

Peer reviewed articles (6)

Journal of Grid Computing

Auteurs: Robert Nica; Stefan Götz; Germán Moltó
Publié dans: Journal of Grid Computing 22(3), 2024, ISSN 1570-7873
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10723-024-09777-z

Remote Sensing

Auteurs: Kaori Otsu; Joan Maso
Publié dans: Remote Sensing, 2024, ISSN 2072-4292
Éditeur: MDPI
DOI: 10.3390/RS16193672

An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis Data

Auteurs: Accarino, Gabriele; Donno, Davide; Immorlano, Francesco; Elia, Donatello; Aloisio, Giovanni
Publié dans: Earth and Space Science, 2023, ISSN 2333-5084
Éditeur: Wiley
DOI: 10.48550/arxiv.2306.07291

Earth Science Informatics

Auteurs: Pondi, Brian; Appel, Marius; Pebesma, Edzer
Publié dans: Earth Science Informatics 17(1):1-10, 2024, ISSN 1865-0473
Éditeur: Springer Verlag
DOI: 10.1007/s12145-024-01249-y

Software Quality Assurance as a Service: Encompassing the quality assessment of software and services

Auteurs: Bernardo, Samuel; Orviz, Pablo; David, Mario; Gomes, Jorge; Arce, David; Naranjo, Diana; Blanquer, Ignacio; Campos, Isabel; Moltó, Germán; Pina, Joâo; EOSC-SYNERGY
Publié dans: Future Generation Computer Systems, 2024, ISSN 1872-7115
Éditeur: Elsevier
DOI: 10.1016/J.FUTURE.2024.03.024

Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard

Auteurs: Marco Antonio Tangaro; Marica Antonacci; Giacinto Donvito; Nadina Foggetti; Pietro Mandreoli; Daniele Colombo; Graziano Pesole; Federico Zambelli
Publié dans: NAR Genomics and Bioinformatics, 2024, ISSN 2631-9268
Éditeur: Oxford Academic
DOI: 10.1093/NARGAB/LQAE140