| Information standards and technologies for describing, exchanging and disseminating data and metadata | |
| Course Leader | Alessio Cardacino |
| Target Group | Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge |
| Entry Qualifications | - Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
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| 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
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| Contents | The main topics are: - Standardization activities within the statistical community
- Introduction to Information Models and Standards:
- Basic notions
- Relevance in the context of the statistical production
- Metadata-driven statistical business process
- Conceptual statistical standards:
- Generic Statistical Business Process Model (GSBPM)
- Generic Statistical Information Model (GSIM)
- Main implementation-level statistical standards:
- Statistical Data and Metadata eXchange (SDMX): information model, content oriented guidelines, IT architecture and implementation scenarios
- Data Documentation Initiative (DDI): questionnaires, unit-record data archiving and metadata exchange
- Data Catalog Vocabulary (DCAT)
- Introduction to INSPIRE
- Hands-on sessions:
- Creating a data catalog using DCAT standard
- Developing structural metadata to model multidimensional statistical tables
- Building a dissemination/reporting database based on the SDMX Information Model
- Publishing statistical datasets for dissemination or reporting
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| 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
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| 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
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| Required Reading | None |
| Suggested Reading | |
| Required Preparation | None |
Trainer(s)/
Lecturer(s) | Alessio Cardacino (Istat), Francesco Rizzo (Istat), Giorgia Simeoni (Istat), Mauro Scanu (Istat) |
