Up to €67.4 million is foreseen from the 2020 CEF Telecom Work Programme for grants managed by INEA in the area of Generic Services. The grants under CEF Telecom helped European public administrations and businesses to hook up to the core platforms of the digital services that are the object of the calls. In particular, €5 million was made available in 2019 and €3 million in 2020 for projects oriented towards 'Open Data' management. GreenMov, ODALA and INTERSTAT have developed services and products that can be easily adopted by public administrations and beyond thank to the funding of CEF programme target on Open Data The purpose of this event is not only to present results, demos or provide technical guidelines for developers, it is a moment of reflection on lesson learned and best practices that came from years of project’s activity to analyse what will be the impact for Public Administrations, and finally test the value of GreenMov, INTERSTAT and ODALA in solving future problems.

1. Semantic challenges in Open
data: The role of Interoperable
Europe
DIGIT.B2 - Interoperability.
13
JUNE
2023

2. Agenda Welcome
Interoperable Europe Act
Semic Action
1
High Value Datasets
2
3
4
5
6
Geo-DCAT-AP
Data Spaces

5. •
•

7. •
•
•

8. SEMIC action

9. Introduction to SEMIC
The objectives of the SEMIC action is to promote Semantic Interoperability
amongst the EU Member States by:
Promoting, share and reuse of semantic assets, experience and
tools and facilitating agreements in key areas.
Identifying opportunities for alignment on semantic definitions,
metadata and reference data sources with special focus on
identification and definitions of Core Concepts / Vocabularies.
Raising awareness on the importance of data and metadata
management.

10. Current SEMIC assets

11. Objectives of DCAT-AP
The DCAT Application profile for data portals in Europe (DCAT-AP) is a
specification based on W3C's Data Catalogue vocabulary (DCAT) for describing
public sector datasets in Europe.
Its basic use case is to enable a cross-data portal search for data sets and
make public sector data better searchable across borders and sectors.
This can be achieved by the exchange of descriptions of data sets among data
portals.
In such a way that the metadata descriptions are maximally harmonised across
Europe, and provide a reliable source for the European Data portal.
Extensions exist to serve different communities better: BregDCAT-AP, GeoDCAT-
AP, StatDCAT-AP.

12. DCAT ecosystem – profiling per
governance
Global
European
National
DCAT
DCAT-AP
DCAT-AP
(DE)

13. DCAT ecosystem – profiling per
domain
Open Data Portals
Geographical data in Open Data Portals
Base registries data catalogues
DCAT-AP
GeoDCAT-AP
StatDCAT-AP
Statistical data in Open Data Portals
BregDCAT-AP
Asset data catalogues ADMS
tight coupling

14. High Value Datasets

15. European legislation on open data
• https://eur-lex.europa.eu/legal-
content/EN/TXT/?uri=CELEX%3A32019L1024
• The Directive on open data and the re-use of public
sector information provides common rules for a European
market for government-held data.

16. Current Situation
DCAT-AP
MS portal data.europa.eu
• Metadata is provided in a structured EU harmonized way
• Can be queried by machine

17. High Value Data Sets Implementing
Act
• https://eur-lex.europa.eu/legal-
content/EN/TXT/?uri=uriserv%3AOJ.L_.2023.019.01.0043.01.ENG
• The main objective of establishing the list of high-value datasets is to ensure that
public data of highest socio-economic potential are made available for re-use
with minimal legal and technical restriction and free of charge in order to speed
up the emergence of value-added EU-wide information products.
• Harmonising the implementation of the re-use conditions of high-value datasets
entails the technical specification for making the datasets available in a machine-
readable format and via application programming interfaces (APIs).
• Six thematic data categories: 1) geospatial; 2) earth observation and
environment; 3) meteorological; 4) statistics; 5) companies and company
ownership; and 6) mobility.
• Reporting obligation by MS.

18. Requirements Assessment Annex
Publish the identified datasets with
• ‘Open legal conditions’, i.e. CC-BY 4.0
• With a bulk download
• With an API
• According to the best practices and agreements imposed by the
relevant legislation
• Identified by a “surrounding” of the content
• With documentation about the structure and semantics of the
data
The datasets shall be described in a complete and publicly available online documentation
describing at least the data structure and semantics (e.g. Annex 3.2.c)

19. Example identification
The HVD for Buildings are
• The building datasets that are in scope of the INSPIRE data theme
building (Directive 2007/2/EC)
• With the granularities up to the scale of 1:5000
• And must provide the following content:
• Unique identifier;
• Geometry (footprint of the building);
• Number of floors;
• Type of use.

20. Supporting HVD directive: proposal
DCAT-AP guidelines for HVD
MS portal data.europa.eu
• Metadata of HVDs is provided in a structured EU harmonized way (better quality, less
variation, etc.) reflecting the requirements of the HVD directive.
• Standard query for reporting purpose
• The metadata of the already described HVD becomes more visible and with better
quality

21. Challenges
• C1) How to know which dataset is within the scope of HVD
directive? (a dataset might belong to more than one
categories)
• C2) reference to metadata descriptions
• Persistent
• Online
• C3) legal information
• C4) Bulk download
• C5) API
• C6) Point of Contact
• C7) adhere to specific information requirements

22. Supporting HVD directive: approach
• A joint workgroup of PSI and DCAT-AP community
• Via online webinars/workshops
• Via github (e.g. https://github.com/SEMICeu/DCAT-AP/issues/231)
• The goal is to maximally reuse the existing DCAT-AP metadata, and only describe a more rigid
way of using it to create a more harmonized metadata for HVD.
Modification of current DCAT-AP:
• Creation of new properties
• Provision of how to use existing classes and properties (adaptation on the granularities)
• Identification of needed code lists (such as for
licencing) http://publications.europa.eu/resource/authority/licence/CC_BY_4_0
• Guidelines on identifiers for DCAT-AP
• Outcome: A document that expresses how to apply DCAT-AP in order to satisfy the metadata
requirements expressed in the Implementing Regulation for High Value Datasets – including
APIs.
• Preliminary draft is shared as https://semiceu.github.io/DCAT-AP/releases/2.2.0-hvd/.

23. GeoDCAT-AP

24. GeoDCAT-AP, INSPIRE and ISO
Standards
• GeoDCAT-AP v2.0 is an extension of DCAT-AP for geospatial datasets
(released in Q4 2020)
• GeoDCAT-AP is meant to provide a DCAT-AP compliant representation
for the set of metadata elements included in INSPIRE metadata
• The core profile of ISO 19115:2003
• The GeoDCAT-AP specification does not replace the INSPIRE Metadata
Regulation nor the INSPIRE Metadata Technical Guidelines based on
ISO 19115:2003 and ISO 19119
• Its basic use case is to make spatial datasets, data series, and services
searchable on general data portals, thereby making geospatial
information better searchable across borders and sectors
24

25. GeoDCAT-AP landscape
25
W3C DCAT
DCAT-AP
GeoDCAT-AP
ISO 19115
ISO 19115
INSPIRE
ISO 19115
INSPIRE -MS
(Geo)DCAT-AP
MS
OGC GeoDCAT
ISO 19119
ISO 19139
DCAT-AP for
HVDS

26. Data Spaces

27. DG DIGIT’s role and services
DG Informatics (DIGIT B) is ready to support data spaces with existing assets and services, as well as to establish
synergies with stakeholders active in this field to provide a more comprehensive support.
European
Commission
DG Informatics
Other
stakeholders
Interoperability
Trust & Identity
Analytics
Support to data
spaces
Data
spaces

28. What is in there for European data spaces
Reference architecture | data discoverability | common data glossaries and thesaurus | agreed meaning of datasets |
harvesting data from online catalogues | publishing interoperable data | interoperability between personal data spaces

29. DIGIT supports cross-border and cross-domain
interoperability
Data spaces should be guided by a set of design principles, including the use of a common technical infrastructure and
building blocks, as well as interconnection and interoperability.
A portfolio of tested solutions that enable interoperability
Our solutions are readily available to enable interoperability within and across data spaces, in a cost-
effective way, based on open standards and in respect of EU values and regulations. These EU-funded
solutions have been tried, tested and deployed across many European projects, allowing data spaces to
benefit from immediate connectivity to existing data sources and data consumers.
Contributing to ‘digital by default’ and ‘interoperability by design’
Our offering includes reference architectures, interoperability specifications and common semantic models
that support data spaces by providing a (i) business-agnostic Reference Architecture for data spaces; (ii)
reference data models; (iii) semantic tools (semantic toolchain, VocBench, etc.) and innovative services
(Linked Data, cost-cutting API maintenance, Wikipedia-based technology); and (iv) solutions for ensuring
interoperability for the implementation of personal data spaces. These solutions are accompanied by related
advisory services.
A well-established knowledge hub which fosters community building
Our way of working engages communities and relevant stakeholders to exchange experiences, good
practices and knowledge. We work closely with experts and practitioners to bring useful and ready-to-use
solutions that meet their needs.
1
2
3

30. Extension of DCAT-
AP with NAPCORE
The role of DCAT-AP

32. Thank you

33. Stay in
touch
https://joinup.ec.europa.eu/collection/interoperable-
europe/interoperable-europe
(@InteroperableEU) /
Twitter
DIGIT-INTEROPERABILITY@ec.europa.eu
Interoperable Europe | LinkedIn
Interoperable Europe - YouTube