Nowadays, innovative digital services are massively spreading both in the public and private sectors. In this work we focus on the digital data regarding the mobility of persons and goods, which are experiencing exponential growth thanks to the significant diffusion of telecommunication infrastructures and inexpensive GPS-equipped devices. The volume, velocity, and heterogeneity of mobility data call for advanced and efficient services to collect and integrate various data sources from different data producers. The MobiDataLab H2020 project aims to deal with these challenges by introducing an efficient and highly interoperable digital framework for mobility data sharing. In particular, the project aims to propose to the mobility stakeholders (i.e., transport organising authorities, operators, industry, governments, and innovators) reproducible methodologies and sustainable tools that can foster the development of a data-sharing culture in Europe and beyond. This paper introduces the key concepts driving the design and definition of a cloud-based data-sharing federation we call the Transport Cloud platform, which represents one of the main pillars of the MobiDataLab project. Such platform aims to ensure transnational access to mobility data in a secure, efficient, and seamless way, and to ensure that FAIR principles (i.e., mobility data should be findable, accessible, interoperable, and reusable) are enforced.

A federated cloud solution for transnational mobility data sharing

Carlini E;Dazzi P;Lettich F;Perego R;Renso C;Trani S
2022

Abstract

Nowadays, innovative digital services are massively spreading both in the public and private sectors. In this work we focus on the digital data regarding the mobility of persons and goods, which are experiencing exponential growth thanks to the significant diffusion of telecommunication infrastructures and inexpensive GPS-equipped devices. The volume, velocity, and heterogeneity of mobility data call for advanced and efficient services to collect and integrate various data sources from different data producers. The MobiDataLab H2020 project aims to deal with these challenges by introducing an efficient and highly interoperable digital framework for mobility data sharing. In particular, the project aims to propose to the mobility stakeholders (i.e., transport organising authorities, operators, industry, governments, and innovators) reproducible methodologies and sustainable tools that can foster the development of a data-sharing culture in Europe and beyond. This paper introduces the key concepts driving the design and definition of a cloud-based data-sharing federation we call the Transport Cloud platform, which represents one of the main pillars of the MobiDataLab project. Such platform aims to ensure transnational access to mobility data in a secure, efficient, and seamless way, and to ensure that FAIR principles (i.e., mobility data should be findable, accessible, interoperable, and reusable) are enforced.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Amato G., Bartalesi V., Bianchini D., Gennaro C., Torlone R.
Advanced Database Systems
SEBD 2022 - 30th Italian Symposium on Advanced Database Systems
586
592
7
http://ceur-ws.org/Vol-3194/paper69.pdf
CEUR-WS.org
Aachen
GERMANIA
Sì, ma tipo non specificato
19-22/06/2022
Tirrenia, Pisa, Italy
Federated cloud
Mobility data sharing
Elettronico
7
open
Carlini, E; Chevalier, T; Dazzi, P; Lettich, F; Perego, R; Renso, C; Trani, S
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Adaptive edge/cloud compute and network continuum over a heterogeneous sparse edge infrastructure to support nextgen applications
   ACCORDION
   H2020
   871793

   Labs for prototyping future Mobility Data sharing cloud solutions
   MobiDataLab
   H2020
   101006879
File in questo prodotto:
File Dimensione Formato  
prod_471840-doc_191792.pdf

accesso aperto

Descrizione: A Federated Cloud Solution for Transnational Mobility Data Sharing
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.07 MB
Formato Adobe PDF
1.07 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/417697
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact