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Information standards and technologies for describing, exchanging and disseminating data and metadata - 2025


 

 Information standards and technologies for describing, exchanging and disseminating data and metadata

Course Leader

Alessio Cardacino 

Target Group

Subject-matter experts without specialist IT knowledge.

Entry Qualifications
  • Sound command of English. Participants should be able to make short interventions and to actively participate in discussions

Objective(s)

The main objectives of the course are:

  • Illustrate “standardisation” activities within the European Statistical System and, more in general, within the statistical community.
  • Explain how to define a standardization strategy to improve the statistical business processes
  • Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI)
  • Introduce open data (DCAT) and spatial (INSPIRE) standards 
  • Highlight the relationships between conceptual and implementation standards
  • Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to metadata management, data dissemination and data reporting
Contents

Introduction to Information Models & Standards:

- Basic notions

- Relevance in the context of statistical production

- Metadata-driven process statistical production process

▪ Overview of the overarching Generic Statistical Information Model (GSIM) and its relationships to other standards (such as GSBPM, SDMX and DDI)

▪ Overview of some main implementation-level standards

- Statistical Data and Metadata Exchange (SDMX): standard, guidelines, IT architecture and implementation scenarios. The discussion on SDMX will also include information about the latest developments in the standard (SDMX 3.0).

- Data Documentation Initiative (DDI): Describing, managing and archiving unit-record data

- Semantic web standards, such as RDF linked open data (e.g.DCAT, SPARQL, SKOS/XKOS, RDF Data Cube Vocabulary)

 

▪ Use cases and/or practical exercises on data exchange, validation and dissemination.

Expected Outcome

At the end of the course, participants will be able to:

  • propose and encourage standardization processes, within their respective organisations, in line with the ESS experiences
  • compare capabilities between different standards
  • drive the data/metadata reporting towards International Organisations
  • facilitate harmonized data/metadata sharing exercises
Training Methods
  • Case studies analysis. Participants will be invited to share their own thoughts and experiences. 
  • Building the foundations through theoretical lectures on standards, information models and metadata
  • Learning the essence of tools and products through the hands-on session based on real use-cases 
  • Design-thinking after users’ use cases presentations
  • “Q&A” session at the end of each day


 

Required Reading 

None

Suggested Reading

 

Required PreparationSubject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge.
Trainer(s)/
Lecturer(s)

Alessio Cardacino (Istat), Francesco Rizzo (Istat), Giorgia Simeoni (Istat), Emanuela Recchini (Istat)

 

 

Practical Information

When

Duration

Where

Organiser

APPLICATION VIA National Contact Point

18-21.03.2025

4 days

Rome, Italy

ICON INSTITUTE Public Sector GmbH

Deadline: 20.01.2025