Course Leader | Alessio Cardacino |
| Target Group | Subject-matter experts without specialist IT knowledge. |
| Entry Qualifications | Sound command of English. The course is intended for subject-matter experts working with official statistics who do not require specialist IT knowledge. Participants should have a basic understanding of statistical production processes and an interest in standardisation, metadata, and data exchange within the European Statistical System. Prior experience with statistical standards is not required. |
| 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 | 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.
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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 | Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge. |
Trainer(s)/
Lecturer(s) | Trainers from ISTAT: Alessio Cardacino (Course leader), Giorgia Simeoni, Emanuela Recchini, Carlo Boselli and Di Martino Mirel Gheorghe |
