The paper presents a business intelligence platform, called SINSE+, able to acquire and analyze open data to define and analyze indicators. SINSE+ has been designed and tested to analyse data regarding the context of health and social information, but it can be used for any application area. The aim is to produce dashboards able to combine information from different open data sources regarding social and health information, able to improve citizen wellness. The system is composed by: (i) a data extraction module (web scraping); (ii) an ETL module; (iii) a storage and querying module and (iv) an indicators representation module able to display information according to indicators of interest (dashboard). It has been tested with information regarding social health topics, with particular attention to the BES report (Socio-Economic Welfare). SINSE+ is one of the results of an industrial project, funded by the Calabria Region and coordinated by ICT-SUD consortium.

SINSE+: A software for the acquisition and analysis of open data in health and social area

Franco P.;Perri A.;Caroprese L.;Vocaturo E.;Zumpano E.
2016

Abstract

The paper presents a business intelligence platform, called SINSE+, able to acquire and analyze open data to define and analyze indicators. SINSE+ has been designed and tested to analyse data regarding the context of health and social information, but it can be used for any application area. The aim is to produce dashboards able to combine information from different open data sources regarding social and health information, able to improve citizen wellness. The system is composed by: (i) a data extraction module (web scraping); (ii) an ETL module; (iii) a storage and querying module and (iv) an indicators representation module able to display information according to indicators of interest (dashboard). It has been tested with information regarding social health topics, with particular attention to the BES report (Socio-Economic Welfare). SINSE+ is one of the results of an industrial project, funded by the Calabria Region and coordinated by ICT-SUD consortium.
2016
Istituto di Nanotecnologia - NANOTEC - Sede Secondaria Rende (CS)
Open data Analisys
Healthcare
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/530187
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