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The creation of an international core data model

Creating a digital core data model

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The creation of an international core data model

  1. 1. Workshop The creation of an international core data model Antwerp, 19 November 2015 A presentation by PwC EU Services
  2. 2. Agenda Duration Topic 15’ Round table 15’ Setting the grounds for international core data models 30’ Implementations of the ISA Core Vocabularies across Europe 20’ The Community of Practice on data standards 10’ Q&A 2
  3. 3. Who is who?
  4. 4. Agenda Duration Topic 15’ Round table 15’ Setting the grounds for international core data models 30’ Implementations of the ISA Core Vocabularies across Europe 20’ The Community of Practice on data standards 10’ Q&A 4
  5. 5. Setting the grounds for international core data models
  6. 6. Agreeing on common terminology & definitions Source:https://joinup.ec.europa.eu/site/eia/EIRA/EIRA_beta_dev 6
  7. 7. The two main types of data standards are: • data models • reference data Data standard A data standard is a structural metadata specification that describes or defines other data [ISO111179]. Structural metadata indicates how compound objects are put together [NISO]. “ “ “ “ European Interoperability Reference Architecture Semantic View
  8. 8. Data models The use of standardised data models as common building blocks for developing information systems guarantees a minimum of semantic consistency and facilitates information exchange. A data model is a collection of entities, their properties and the relationships among them, which aims at formally representing a domain, a concept or a real-world thing. “ “ “ “ European Interoperability Reference Architecture Semantic View
  9. 9. Reference data Standardised reference data is key to data integration and interoperability, and facilitate the sharing and reporting of information. Reference data is small, discrete sets of values that are not updated as part of business transactions, but are usually used to impose consistent classification. Reference data normally has a low update frequency. Reference data is relevant across more than one business systems belonging to different organisations and sectors. “ “ “ “  Examples: lists of status codes, currency codes, country abbreviations, demographic fields, genders, file types. European Interoperability Reference Architecture Semantic View
  10. 10. • Describe basic information involved in an organisation, e.g. information about persons, companies, vehicles, buildings, locations, roads • Used by multiple business processes and different public services • Stored in base registries Master data Standardising master data formats and values are critical for successful system integration and information exchanges. Master Data is the authoritative, most accurate data that is available about key business entities, used to establish the context for business transactions and transactional data. “ “ “ “ European Interoperability Reference Architecture Semantic View
  11. 11. Agreeing on the representation of core data entities The ISA Core Vocabularies CORE VOCABULARY PUBLIC SERVICE [1] https://joinup.ec.europa.eu/asset/core_vocabularies/description The Core Vocabularies are simplified, re-usable and extensible data models that capture the fundamental characteristics of a data entity in a context-neutral and syntax-neutral fashion [1] “ “ 11
  12. 12. • Core Evidence & Core Criterion • Core Public Organisation New Core Vocabularies Development starts in December 2015 [1] https://joinup.ec.europa.eu/asset/core_vocabularies/description “ “ 12 What are for you the most important core vocabularies?
  13. 13. Harmonising core data models Core Data Models Mapping Directory Creation of mappings • Concept mappings • Spreadsheet based Publishing of mappings • Quality control • Transform to RDF Exploration of mappings • browsing • Visual • Machine processeable 13 Discover more at: http://mapping.semic.eu
  14. 14. Harmonising core data models Creation of mappings between Core Data Models Conceptual schema level mappings • Express relationships between entities • The existence of a relationship is prerequisite for an implementation Syntax level mappings • Express relationships between entities and how one representation can be transformed into another one • Requires: o A physical representations of each Core Data Model (e.g. XML, DB, RDF) o A transformation engine. (e.g. XSLT, R2ML) 14
  15. 15. Overview of mappings to the ISA Core Vocabularies Core data model Exact & close matches Other matches No matches NIEM 3.0 44% 35% 21% KoSIT - XOV 41% 22% 37% OSLO 38% 0% 62% Stelselcatalogus 31% 12% 57% IMI Vocabulary 29% 19% 52% Swedish Company data model 27% 7% 66% 15
  16. 16. Agenda Duration Topic 15’ Round table 15’ Setting the grounds for international core data models 30’ Implementations of the ISA Core Vocabularies across Europe 20’ The Community of Practice on data standards 10’ Q&A 16
  17. 17. Implementations of the ISA Core Vocabularies across Europe
  18. 18. The Core Vocabularies Handbook for design and alignment Step 5: Syntax documentation and mapping Step 4: Syntax binding Step 3 : Business rules Step 2: Information modelling Step1: Context & Requirements 1. Define the context and requirements 2. Select and reuse Core Vocabulary Concepts 3. Define business rules 4. Bind to an existing syntax or create a new syntax 5. Document the syntax and create conformance mapping Core Vocabularies Handbook 18
  19. 19. Implementation in EU systems
  20. 20. Beneficiary: DG Competition and EU Member States State aid transparency Develop a new vocabulary by extending Core Vocabularies Disseminate transparency information related to state aid as machine-readable open data. 20 Build an RDF dissemination vocabulary reusing the RDF syntaxes of the Core Vocabularies
  21. 21. State aid transparency Develop a new RDF vocabulary by extending Core Vocabularies CORE VOCABULARY PUBLIC SERVICE Beneficiary national ID Sector Beneficiary name Beneficiary Type Granting authority Entrusted entity Financial intermediary Location Amount Currency rov:registration rov:legalName rov:orgType rov:orgActivity rov:legalName rov:legalName rov:legalName locn:adminUnitL2 State aid transparency vocabulary cpsv:value cpsv:currency 21
  22. 22. Beneficiary: DG GROW, Member States EU Business Registers Interconnection System (BRIS) Develop a new vocabulary by reusing Core Vocabularies 22 Implemented the BRIS data models (i.e. the BRIS entity and the BRIS messaging models) based on data standards to enable the interoperable communication of company data between interconnected registers of the Member States. The XML representation of the Legal Entity class of the Core Business Vocabulary was reused in the XML Schemata that implemented the BRIS data models.
  23. 23. The BRIS data models reused elements of the “Legal Entity” concept of the Core Business Vocabulary. EU Business Registers Interconnection System (BRIS) Develop a new vocabulary by extending Core VocabulariesCore Vocabularies LegalEntity LegalEntityLegalName LegalEntityLegalIdentifier LegalEntityCompanyType LegalEntityCompanyStatus BRIS Company CompanyName RegistrationNumber LegalForm CompanyStatus 23
  24. 24. Implementation in the Member States
  25. 25. OSLO, an extension of the Core Vocabularies in a local context, is a simplified, reusable and extensible data model that captures the fundamental characteristics of information exchanged by Flemish public administration in the domains: contact information, localisation and public services. • Why starting from the Core Vocabularies – the benefits • What were the vocabularies extended • How were the Core Vocabularies extended OSLO
  26. 26. • The adoption of the Core Public Service Vocabulary in Estonia for public service portfolio management • The Italian application profile of the Core Public Service Vocabulary • The planned extension of the Core Public Service Vocabulary for supporting the Belgian Point of Single Contact. Other cases from the Member States
  27. 27. Agenda Duration Topic 15’ Round table 15’ Setting the grounds for international core data models 30’ Implementations of the ISA Core Vocabularies across Europe 20’ The Community of Practice on data standards 10’ Q&A 27
  28. 28. The Community of Practice on data standards
  29. 29. A network of representatives from (or working for) public administration organisations aiming to: • Share knowledge, experiences and lessons-learnt on core data models and reference data • Harmonise existing initiatives • Develop together guidelines for core data models and reference data • Define together areas of future collaboration in ISA Action 1.1 Community of Practice Scope Discover more at: https://joinup.ec.europa.eu/community/semic/og_page/cop-data-standards
  30. 30. Community of Practice Participants Organisations Countries • Ministry of Economy • Instytut Logistyki i Magazynowania Poland • Ministry of Environmental Protection and Regional Development • Regional State Development Agency Latvia • DHS Information Sharing Environment Office (NIEM) USA • Directorate of Ministry of finances and public administrations Spain • Bolagsverket - Swedish Companies Registration Office Sweden • Ministry of Finance • ELY - Centre for Economic Development, Transport and the Environment Finland 11 3 5 Member States Third countries EC and UNU 30
  31. 31. Community of Practice Participants Organisations Countries • V-ICT-OR Belgium • Ministry of the Interior Lithuania • Logius Netherlands • Data Exchange Agency Georgia • Ministry of Finance Cyprus • Bundeskanzleramt Austria • Ministry of Economic Affairs and Communications Estonia • IPA • Ministry of Economy, Trade and Industry • National Institute of Informatics Japan 11 3 5 Member States Third countries EC and UNU 31
  32. 32. Common guidelines, good practices and lessons learned related to data standards
  33. 33. • Share knowledge with the members of the Community of Practice. • Support new and on-going initiatives on data standards in public administrations by providing common guidelines, good practices and lessons learned concerning the management of data standards. • Identify alignment opportunities amongst the various initiatives. Objectives
  34. 34. A case study is considered within the scope of the current project if it meets one or more of the following criteria: • It relates directly to the management and governance of data standards. • It is about data standards targeting the implementation of IT systems having regional, national or cross-border coverage, or concerns the exchange of information between systems within or across borders. • It relates to data standards covering one or more policy areas. “ Scope 34
  35. 35. Case study template 35 • General information: Title, policy domains covered by the case study, contact person, and references; • Business model: Problem & challenges, Solution, Targeted audience, Value proposition, Key metrics, Key activities, Strengths, Weaknesses, Cost structure, Revenue streams; • Implementation experience: A practical implementation of the data standard described by the case study.
  36. 36. Agenda Duration Topic 15’ Round table 15’ Setting the grounds for international core data models 30’ Implementations of the ISA Core Vocabularies across Europe 20’ The Community of Practice on data standards 10’ Q&A 36
  37. 37. Q&A
  38. 38. Join the SEMIC group on LinkedIn Follow @SEMICeu on Twitter Join the SEMIC community on Joinup Get involvedVisit our initiatives ADMS. SW CORE VOCABULARY PUBLIC SERVICE REGISTERED VOCABULARY ORGANIZATION ISA Action 1.1 - http//semic.eu Vassilios.Peristeras@ec.europa.eu Athanasios.Karalopoulos@ec.europa.eu Nikolaos.Loutas@be.pwc.com contact@semic.eu

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