A SOLB Data governance framework for Piedmont Local Government

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1 A SOLB Data governance framework for Piedmont Local Government CSI-Piemonte, Consorzio per il Sistema Informativo Giuliana Bonello, Mauro Velluto 21/2/2014 1

2 Who we are Founded in 1977 by: Piedmont Region University of Turin Polytechnic of Turin CSI-Piemonte: IT for public services we are one of the main Information & Communication Technology agencies in Italy we design and develop innovative public services,to simplify life for citizens and enterprises and to facilitate and speed up their relations with the Public Administration 110 Associated Consortium Members 156,7 Millions annual revenues (2010) 1,200 employees 21/2/2014 2

3 Mission CSI Piemonte: transforms innovation demand from citizens and enterprises into services accessible for all and easy to use helps public institutions to optimize internal processes to save time, reduce expenses and satisfy the needs of the citizens helps public institutions to optimize internal processes to save time, reduce expensesand satisfy the needs of the citizens promotes collaboration among Administrations in Italy and abroad and the reuse of Piedmont good practices your life without queues all services at your place 24/7 just in one click 21/2/2014 3

4 Which data? Sviluppo e Gestione delle risorse Stipendi Formazione per la PA Servizi per il personale Istruzione Cultura e Tempo libero Turismo Cultura Sport Biblioteche Musei Patrimonio Artistico e Culturale Politiche Sociali e Sanità Servizi Socio Sanitari Servizi al cittadino SI ASL / ASO Reti di patologia SI Regionali Sviluppo Economico e Attività Produttive Lavoro Orientamento profess. Industria Artigianato Commercio Form. Professionale Apprendistato Bandi Agricoltura Attività Istituzionali Demografia Comunicazione Bilancio Acquisti della PA E-procurement Programmazione economica Controllo di Gestione Progetti Europei Dati Statistici Dematerializzazione Ambiente e Territorio Cartografia Edilizia e Opere Pubbliche Sicurezza Protezione Civile Energia Trasporti Monitoraggio Aria e Acqua Inquinamento Montagna e Foreste Difesa del suolo Fiscalità Legenda Regione Piemonte Provincia di Torino Comune di Torino ASL / ASO Altri Enti 21/2/2014 4

5 The knowledge heritage of PA in Piedmont basi dati territoriali Raster, Vector, Ortofoto, Modelli digitali del terreno, Telerilevamento satellitare basi dati alfanumeriche 160 basi dati statistiche Catalogazione del patrimonio librario, culturale, naturalistico, archivistico Banche Dati normative e amministrative Leggi Regionali dal 1971 ad oggi. Atti Amministrativi (Delibere, Determine, ecc.) Banche Dati multimediali Biblioteca Digitale Piemontese 21/2/2014 5

6 Data integration layer Front office e portali Data sources Integration and elaboration SOLB Framework Access and sharing Data collection layer Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/2014 6

7 Data integration layer Front office e portali SOLB Framework: platforms Data sources Integration and elaboration Access and sharing Data collection layer Dati social Sensori, Internet of things Data quality layer Knowledge sharing Trasparenza Patrimonio informativo digitale non strutturato Motori semantici Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/2014 7

8 Data integration layer Front office e portali Example 1: Agriculture Data sources Integration and elaboration Access and sharing Data collection layer Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/2014 8

9 Enterprise DWH Back-end Front-end PSR Data warehouse & OD Knowledge sharing 1 Procedure di alimentazione 2 Basi dati decisionali (anonime) 3 Sistemi di accesso / fruizione 21/2/2014 9

10 Enterprise DWH Back-end Front-end Agriculture Census Data warehouse & OD Censimento AGile Knowledge sharing Data storytelling 1 Procedure di alimentazione 2 Basi dati decisionali (anonime) 3 Sistemi di accesso / fruizione 21/2/

11 Si riesce a trasformare queste scatole in una grafica più carina? Agriculture data Agricoltura - As is Components Portal: opendata & transparency RicercSearch: engine and index Data: data stores & data services platform L'Esempio dei Censimenti Agricoltura 21/2/

12 Agriculture Census 21/2/

13 Agriculture - To be: RDF publication Agriculture data 21/2/

14 Data integration layer Front office e portali Data sources Integration and eleboration Example 2: Culture Access and sharing Data collection layer Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/

15 Different projects fostering the digitizing of cultural heritage: A search engine for culture dal 1985: dal 1992: dal 2004: dal 2010: SBN Servizio Bibliotecario Nazionale Guarini BDP Biblioteca Digitale Piemontese Archivio Storico La Stampa The value is represented by data: Digitized documents Metadata Metadati Ontologia Web semantico 21/2/

16 A search engine for culture 21/2/

17 A search engine for culture 21/2/

18 A search engine for culture 21/2/

19 Data integration layer Front office e portali Example 3:semantic search for (geo)data Data sources Integration and elaboration Access and sharing Data collection layer Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/

20 As is: goals and features Knowledge bases: Civil protection: great amount of information in unstructured data sources Public building heritage: information in structured sources not easily integrable Objectives Gather documents (geographic and textual) through free text searches, or basing on thematic ' filters ', derived from an ontological formalization of the specific domain knowledge. Define an ontological ' view ' of a set of different relational database, containing information of interest Suggest new contents, browsing the Ontology Features: search geographical information from structured sources, basing on their content, representing through geo standard services (wms) 21/2/

21 Emergency management (Risknet) 21/2/

22 Emergency management (Risknet) 21/2/

23 Maintenance of public building heritage 21/2/

24 Maintenance of public building heritage 21/2/

25 To be These experiences will go in the direction of: extend data sources, including sensors and social (especially for civil protection) enrich data with LOD sources, first of all dati.piemonte.it. distribute them in LOD formats The Ontologies will have a of descriptive vocabulary, and will refer, where possible, to standard linked data vocabularies (FOAF for people, GEOSparql for spatial objects etc.). 21/2/

26 Data integration layer Front office e portali Fonti informative Integrazione ed elaborazione delle informazioni Data collection layer Example 4: Health Accesso e condivisione delle informazioni Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/

27 Systèmes d Information et ressources pour les politiques locales de Santé OPSA: data sources, ontology and portal LYO N Rhône-Alpes PIEROS SPIRAL TORINO Piemonte Rete per la Salute Ce.Do. Santé- Environnement Rhône-Alpes SIRSé Provence-Alpes-Côte d Azur MARSEILLE BIP-BOP OSCARS MADE Liguria GENOVA Légende Indicateurs Documents/ Bibliographie Politiques/ Actions Acteurs/ Compétences 21/2/

28 OPSA: data sources, ontology and portal 21/2/

29 Data integration layer Front office e portali Example 5: Job search Fonti informative Integrazione ed elaborazione delle informazioni Data collection layer Accesso e condivisione delle informazioni Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/

30 Social & Administrative data Strustured data Administrative data Labor market Unstructured data Crawling Database loading & treatment Text Mining Cluster Infographics 21/2/

31 Social & Administrative data Administrative Data 21/2/

32 Data integration layer Front office e portali Example 6: Piemonte in Pillole Fonti informative Integrazione ed elaborazione delle informazioni Data collection layer Accesso e condivisione delle informazioni Dati social Data quality layer Knowledge sharing Sensori, Internet of things Patrimonio informativo digitale non strutturato Motori semantici Trasparenza Open Data Patrimonio informativo strutturato (operazionali e geografici) Location intelligence Visual analytics & Forecasting 21/2/

33 Search examples 21/2/

34 Data storytelling: farms and vineyards 21/2/

35 Data storytelling: Settembre Musica 21/2/

36 Thank you! CSI-Piemonte Tutti i diritti riservati 21/2/

37 21/2/