Abstract
The principles of open data and the five-star model allow companies to develop low-cost services and Public Administrations (PA) to improve efficiency. However, the process of implementing open data models and principles is not easy unless it is supported by an appropriate technology platform. Today there is a huge number of technological platforms which each promise to be the ideal solution for opening data. Current solutions (commercial or free) do not provide users with easy access to data, nor tools for analysing and displaying data. In this paper, we discuss the potential of the DAF (Data Analytics Framework), a project based on big data, which was created by the Italian government in 2017 and which fosters the integration and standardisation of data, as well as providing three powerful tools for analysis and data visualisation. The paper will then illustrate a concrete case of dashboard development within the DAF, released at an important hackathon organised by the Italian PA sector in October 2017. The project serves as a use case in DAF implementation, where its analytical tools are used for data analysis & visualisation. They also translate a large amount of data into simple representations and use clear and effective language.
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References
Lillo, R., et al.: Data & Analytics Framework. https://developers.italia.it/en/daf/
Government Digital Service, Digital Transf. (2014). https://www.gov.uk/transformation
DCAT-AP_IT v1.0 – Profilo italiano di DCAT-AP | Dati.gov.it. https://www.dati.gov.it/content/dcat-ap-it-v10-profilo-italiano-dcat-ap-0
EIF, European Interoperability Framework, White Pages (2004). https://ec.europa.eu/isa2/eif_en
Lillo, R.: Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data, pp. 3–9 (2018)
Sedkaoui, S., Monino, J.L.: Big Data, Open Data and Data Development. ISTE-Wiley, New York (2016). https://books.google.it/books?id=IfpRCgAAQBAJ. ISBN 9781848218802
Beccaceci, R., et al.: Education with ‘living artworks’ in museums. In: CSEDU 2009 - Proceedings of the 1st Inter. Conference on Computer Supported Education, vol. 1 (2009)
Arcidiacono, G., et al.: The use of lean six sigma methodology in digital curation. In: CEUR Workshop Proceedings, no. 2014 (2016)
Fallucchi, F., et al.: Connecting and mapping LOD and CMDI through knowledge organization. In: Track Digital Humanities and Digital Curation of the 12th Metadata and Semantics Research Conference, 23–26 October 2018, Limassol, Cyprus (2018)
Fallucchi, F. et al.: Creating CMDI-profiles for textbook resources. In: Track Digital Humanities and Digital Curation of the 12th Metadata and Semantics Research Conference, 23–26 October 2018, Limassol, Cyprus (2018)
Fallucchi, F., Alfonsi, E., Ligi, A., Tarquini, M.: Ontology-driven public administration web hosting monitoring system. In: Meersman, R., et al. (eds.) On the Move to Meaningful Internet Systems: OTM 2014. LNCS, vol. 8842, pp. 618–625. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-45550-0_63
Bianchi, M., et al.: Service level agreement constraints into processes for document classification. In: Proceedings of 16th International Conference on Enterprise Information Systems vol. 1 (2014)
Zhang, D., et al.: A knowledge management framework for the support of decision making in humanitarian assistance/disaster relief. Knowl. Inf. Syst. 4(3), 370–385 (2002)
Fallucchi, F., et al.: Supporting humanitarian logistics with intelligent applications for disaster management. In: INTELLI 2016, p. 64 (2016)
Fallucchi, F., Tarquini, M., De Luca, E.W.: Knowledge Management for the Support of Logistics During Humanitarian Assistance and Disaster Relief (HADR). In: Díaz, P., Bellamine Ben Saoud, N., Dugdale, J., Hanachi, C. (eds.) ISCRAM-med 2016. LNBIP, vol. 265, pp. 226–233. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47093-1_19
Ferroni, P., et al.: Risk assessment for venous thromboembolism in chemotherapy-treated ambulatory cancer patients. Med. Decis. Mak. 37(2), 234–242 (2017)
Ferroni, P., et al.: Validation of a machine learning approach for venous thromboembolism risk prediction in oncology. Dis. Markers 2017, 1–7 (2017)
Scarpato, N., Pieroni, A., Di Nunzio, L., Fallucchi, F.: E-health-IoT universe: a review. Int. J. Adv. Sci. Eng. Inf. Technol. 7(6), 2328–2336 (2017)
Pieroni, A., Scarpato, N., Brilli, M:. Industry 4.0 revolution in autonomous and connected vehicle a non-conventional approach to manage big data. J. Theor. Appl. Inf. Technol. 96(1), 10–18 (2018)
Pieroni, A., Scarpato, N., Di Nunzio, L., Fallucchi, F., Raso, M.: Smarter City: smart energy grid based on blockchain technology. Int. J. Adv. Sci. Eng. Inf. Technol. 8(1), 298–306 (2018)
Tableau, Business Intelligence and Analytics (2016). https://www.tableau.com/
Google Data Board. http://think.withgoogle.com/databoard/#lang=en-us&study=23&topic=59
Modern Visualization for the Data Era - Plotly. https://plot.ly/
Alvaro Graves, J.H.: Visualization tools for open government data (2013)
Tableau, Free Data Visualization Software, Tableau Public (2011). http://www.tableausoftware.com/public
Socrata: Data-Driven Innovation of Government Programs. https://socrata.com/
Open Data Regione Lombardia. https://www.dati.lombardia.it/
Presentation - Smartdatanet. http://www.smartdatanet.it/presentation.html
The world’s leading software development platform GitHub. https://github.com/
Yucca - Cerca Dati. https://userportal.smartdatanet.it/userportal/#/dataexplorer/search
Dashboard - Smartdatanet. http://www.smartdatanet.it/yuccadashboard/dashboard.html
Correa, A.S., et al.: Investigating open data portals automatically. In: Proceedings of 19th Annual International Conference on Digital Government Research Governance in the Data Age, pp. 1–10 (2018)
CKAN. https://ckan.org/
affero.org: affero general public license faqs. http://www.affero.org/oagf.html
U.S. government’s data portal Data.gov relaunched on CKAN – ckan. https://ckan.org/2013/05/23/data-gov-relaunch-on-ckan/
Deliverable 2.1 now available | ROUTE-TO-PA. https://routetopa.eu/deliverable-2-1-state-of-the-art-report-and-evaluation-of-existing-open-data-platforms-now-available/
Linked Data - Design Issues. https://www.w3.org/DesignIssues/LinkedData.html
GitHub - italia/daf-ontologie-vocabolari-controllati: Elenco di ontologie e vocabolari controllati. https://github.com/italia/daf-ontologie-vocabolari-controllati
RDF - Semantic Web Standards. https://www.w3.org/RDF/
Camarda, D.V., et al.: LodLive, exploring the web of data. In: Proceedings of the 8th International Conference on Semantic Systems - I-SEMANTICS 2012, p. 197 (2012)
Aliprand, J., Unicode Consortium: The Unicode standard. Addison-Wesley, Reading (2003)
Project Jupyter, Project Jupyter | Home (2017). http://jupyter.org/
Apache SparkTM - Unified Analytics Engine for Big Data. https://spark.apache.org/
R. C. Team: The R Project for Statistical Computing, Http://Www.R-Project.Org/ (2013). https://www.r-project.org/
Edelman, A.: The Julia Language (2013). http://julialang.org/
Scala, The Scala Programming Language (2011). http://www.scala-lang.org/
R. T. Fielding: Architectural Styles and the Design of Network-based Software Architectures (2000)
Metabase https://www.metabase.com/
Apache Superset (incubating) (2016). https://superset.incubator.apache.org/index.html
StumbleUpon, OpenTSDB - A Distributed, Scalable Monitoring System (2012). http://opentsdb.net/
Apache Livy. https://livy.incubator.apache.org/
The Apache Software Foundation, Apache NiFi, Website (2017). https://nifi.apache.org/
GitHub - italia/daf: Data Analytics Framework (DAF). https://github.com/italia/daf
Daf Semantics repository. https://github.com/italia/daf-semantics/
PostgreSQL, PostgreSQL: The world’s most advanced open source database, Http://Www.Postgresql.Org/ (2014). http://www.postgresql.org/. Accessed 07 June 2018
MongoDB, MongoDB for GIANT Ideas | MongoDB, MongoDB (2018). https://www.mongodb.com/
Adhikari, M., Kar, S.: NoSQL databases, Handbook of Research on Securing Cloud-Based Databases with Biometric Applications (2014). https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945404497&doi=10.4018%2F978-1-4666-65590.ch006&partnerID=40&md5=227b5b6488851b9879d98ddc127ab017
Redis. https://redis.io/
D3.js - Data-Driven Documents. https://d3js.org/
Hack.Developers - Cambia la PA, Riavvia il sistema Operativo del Paese. https://hack.developers.italia.it/
ISO 3166-2:IT - Wikipedia. https://it.wikipedia.org/wiki/ISO_3166-2:IT
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Fallucchi, F., Petito, M., De Luca, E.W. (2019). Analysing and Visualising Open Data Within the Data and Analytics Framework. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_13
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