Secure Interactive Environments for SensiTive data Analytics

Projektinformationen

SIESTA

ID Finanzhilfevereinbarung: 101131957

DOI

10.3030/101131957

EK-Unterschriftsdatum 25 Oktober 2023

Startdatum 1 Januar 2024

Enddatum 31 Dezember 2026

Finanziert unter

• Research infrastructures

Gesamtkosten

Keine Daten

EU-Beitrag

€ 4 999 999,55

Koordiniert durch

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Websites, patent fillings, videos etc. (1)

1st SIESTA platform release

This is the 1st SIESTA platform release, in the form of an online platform delivered to users.

Documents, reports (7)

Report on demography applications

Report about use case implementation and status, collected user feedback and suggestions for improvements.

Report on the medical imaging applications

Report about use case implementation and status, collected user feedback and suggestions for improvements.

Policy Briefing

Policy briefing deliverable for the SIESTA project.

Report on the tension between FAIR guiding principles and sensitive data

A detailed analysis on the tension between each of the 15 FAIR principles and their limitations due to the content or the rights over the data

Report on the SIESTA epidemiology tool

Report about use case implementation and status, collected user feedback and suggestions for improvements.

Report on text anonymization tools

Report about use case implementation and status, collected user feedback and suggestions for improvements.

Requirements and architecture definition

This document provides the first architecture specification of the SIESTA platform, together with the requirements elicitation activities carried out with the use cases.

Data Management Plan (1)

Data management plan (DMP)

Will define the project DMP as expected in the GA.

Other (1)

SIESTA anonymisation tools

Software release containing a set of anonymization tools implemented within the project.

Veröffentlichungen

Peer reviewed articles (7)

How floods may affect the spatial spread of respiratory pathogens: the case of Emilia-Romagna, Italy in May 2023

Autoren: Claudio Ascione; Eugenio Valdano
Veröffentlicht in: EPJ Data Science, 2024, ISSN 2193-1127
Herausgeber: Springer
DOI: 10.1101/2024.09.20.24314056

Collaborative forecasting of influenza-like illness in Italy: the Influcast experience

Autoren: Stefania Fiandrino; Andrea Bizzotto; Giorgio Guzzetta; Stefano Merler; Federico Baldo; Eugenio Valdano; Alberto Mateo Urdiales; Antonino Bella; Francesco Celino; Lorenzo Zino; Alessandro Rizzo; Yuhan Li; Nicola Perra; Corrado Gioannini; Paolo Milano; Daniela Paolotti; Marco Quaggiotto; Luca Rossi; Ivan Vismara; Alessandro Vespignani; Nicolò Gozzi
Veröffentlicht in: Epidemics, 2024, ISSN 1878-0067
Herausgeber: Elsevier
DOI: 10.1016/J.EPIDEM.2025.100819

Resilience of mobility network to dynamic population response across COVID-19 interventions: Evidences from Chile

Autoren: Pasquale Casaburi; Lorenzo Dall’Amico; Nicolò Gozzi; Kyriaki Kalimeri; Anna Sapienza; Rossano Schifanella; T. Di Matteo; Leo Ferres; Mattia Mazzoli
Veröffentlicht in: PLOS Computational Biology, 2025, ISSN 1553-7358
Herausgeber: Public Library of Science (PLoS)
DOI: 10.48550/ARXIV.2405.19141

An Open Source Python Library for Anonymizing Sensitive Data

Autoren: Sáinz-Pardo Díaz, Judith; López García, Álvaro
Veröffentlicht in: Scientific Data, 2024, ISSN 2052-4463
Herausgeber: Springer Nature
DOI: 10.1038/S41597-024-04019-Z

BMC Public Health

Autoren: Kathleen Kelley; Nicolò Gozzi; Mattia Mazzoli; Daniela Paolotti
Veröffentlicht in: BMC Public Health, 2025, ISSN 1471-2458
Herausgeber: Springer Nature
DOI: 10.1186/S12889-025-22496-8

A generalized vector-field framework for mobility

Autoren: Erjian Liu, Mattia Mazzoli, Xiao-Yong Yan, José J. Ramasco
Veröffentlicht in: Communications Physics, Ausgabe 7, 2024, ISSN 2399-3650
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1038/S42005-024-01672-Z

Author Correction: An Open Source Python Library for Anonymizing Sensitive Data

Autoren: Judith Sáinz-Pardo Díaz; Álvaro López García
Veröffentlicht in: Scientific Data, 2024, ISSN 2052-4463
Herausgeber: Springer Nature
DOI: 10.1038/S41597-024-04283-Z