Official statistics has acknowledged the value of big data and has started exploring the use of diverse sources in several domains. Sometimes, big data objects can be easily connected to statistical units. If a unit identifier is available, the opportunity to link big data to existing statistical micro data can allow enlarging the content, the coverage, the accuracy and the timeliness of official statistics, for example Internet-scraped data could be used with this aim. In this setting, new challenges arise in data integration with respect to linking administrative data. In this work, we describe a real case of integration of web scraped data and a statistical register of agritourisms specifying the novelties and challenges of the procedure.
Exploring solutions for linking Big Data in Official Statistics / Tuoto, T.; Fusco, D.; Di Consiglio, L. - (2018), pp. 49-58. - SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS.
Exploring solutions for linking Big Data in Official Statistics
Tuoto T.
;Di Consiglio L
2018
Abstract
Official statistics has acknowledged the value of big data and has started exploring the use of diverse sources in several domains. Sometimes, big data objects can be easily connected to statistical units. If a unit identifier is available, the opportunity to link big data to existing statistical micro data can allow enlarging the content, the coverage, the accuracy and the timeliness of official statistics, for example Internet-scraped data could be used with this aim. In this setting, new challenges arise in data integration with respect to linking administrative data. In this work, we describe a real case of integration of web scraped data and a statistical register of agritourisms specifying the novelties and challenges of the procedure.File | Dimensione | Formato | |
---|---|---|---|
Tuoto_Exploring-solutions_2018.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
114.77 kB
Formato
Adobe PDF
|
114.77 kB | Adobe PDF | |
Tuoto_frontrespizio_2028.pdf
accesso aperto
Tipologia:
Altro materiale allegato
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
159 kB
Formato
Adobe PDF
|
159 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.