A big data reference architecture for emergency management

Iglesias Fernández, Carlos Ángel and Favenza, Alfredo and Carrera Barroso, Álvaro (2020). A big data reference architecture for emergency management. "Information", v. 11 (n. 569); pp. 1-24. ISSN 2078-2489. https://doi.org/10.3390/info11120569.

Description

Title: A big data reference architecture for emergency management
Author/s:
  • Iglesias Fernández, Carlos Ángel
  • Favenza, Alfredo
  • Carrera Barroso, Álvaro
Item Type: Article
Título de Revista/Publicación: Information
Date: December 2020
ISSN: 2078-2489
Volume: 11
Subjects:
Freetext Keywords: emergency management; crowdsourcing; big data; crowdworking; disaster management
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (655kB) | Preview

Abstract

Nowadays, we are witnessing a shift in the way emergencies are being managed. On the one hand, the availability of big data and the evolution of geographical information systems make it possible to manage and process large quantities of information that can hugely improve the decision-making process. On the other hand, digital humanitarianism has shown to be very beneficial for providing support during emergencies. Despite this, the full potential of combining automatic big data processing and digital humanitarianism approaches has not been fully realized, though there is an initial body of research. This paper aims to provide a reference architecture for emergency management that instantiates the NIST Big Data Reference Architecture to provide a common language and enable the comparison of solutions for solving similar problems.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainPID2019-105484RB-I00COGNOSUnspecifiedUnspecified
Government of SpainPRX16/00515UnspecifiedUnspecifiedUnspecified

More information

Item ID: 67513
DC Identifier: https://oa.upm.es/67513/
OAI Identifier: oai:oa.upm.es:67513
DOI: 10.3390/info11120569
Official URL: https://www.mdpi.com/2078-2489/11/12/569
Deposited by: Memoria Investigacion
Deposited on: 04 Jul 2021 09:49
Last Modified: 30 Nov 2022 09:00
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM