Preserving the benefits of Open Government Data by measuring and improving their quality: an empirical study

Tipo di pubblicazione: Articolo in atti di convegno
Tipologia MIUR: Contributo in Atti di Convegno (Proceeding) > Contributo in atti di convegno
Titolo: Preserving the benefits of Open Government Data by measuring and improving their quality: an empirical study
Autori: Torchiano, Marco; Vetro', Antonio; Iuliano, Francesca
Autori di ateneo:
Intervallo pagine: pp. 1-10
Tipo di referee: Esperti anonimi
Editore: IEEE
Titolo del convegno: IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC 2017)
Luogo dell'evento: Torino
Data dell'evento: July 4-8, 2017
Abstract: Context: Open Government Data (OGD) represent an invaluable resource for enabling active citizenship. A significant example is represented by the mandatory data that Italian public administrations (PAs) are required to publish concerning their contracts. Nevertheless, a low quality of data provided by PAs could hamper the prospect of citizen involvement. Goal: Our objective is to define a set of basic metrics for public contracts OGD on the basis of the ISO SQuaRE standards family, with the goal of enabling the automated evaluation of dataset quality. Method: We started with the metrics defined in the ISO 25024 standard and adapted them to the data schema of the OGD under evaluation. We assessed the results by looking at the issues revealed by the metrics applied to the data released by a pool of PAs. Results: We were able to define a set of metrics, and apply them to to the datasets released by 12 distinct organizations. The metrics allowed us to identify several quality issues that limit the reuse of OGD from the citizen perspective. Conclusions: The metrics we develop are able to identify quality issues and are suitable to perform an initial automated assessment of OGD datasets. This exercise also support the generality of the ISO 25024 quality measures.
Status: In stampa
Lingua della pubblicazione: Inglese
Parole chiave: data quality, data quality measurement, open government data, data quality, data quality measurement, open government data
Dipartimenti (originale): NON SPECIFICATO
Dipartimenti: DAUIN - Dipartimento di Automatica e Informatica
URL correlate:
    Area disciplinare: Area 09 - Ingegneria industriale e dell'informazione > SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
    Data di deposito: 05 Mag 2017 18:15
    Data ultima modifica (IRIS): 08 Giu 2017 18:25:40
    Data inserimento (PORTO): 13 Giu 2017 12:00
    Permalink: http://porto.polito.it/id/eprint/2670400
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