Disseminating Official Statistics
as Linked Open Data | |
| Course Leader | Mirosław Migacz |
| Target Group | Official statisticians (including process managers) with data management skills, who are interested in exposing data and metadata assets using linked data principles. The course is not meant to be targeted exclusively at IT specialists but can also be useful for staff involved in dissemination. |
| Entry Qualifications | - Sound command of English. Participants should be able to make short interventions and to actively participate in discussions
- Experienced in data management.
|
| Objective(s) | - Present the essentials concepts of open data and linked open data..
- Improve data management skills in exploring feasible data sources, finding publications, data portals and how to publish them.
|
| Contents | The course should present the essentials concepts of open data and linked open data, covering the following topics: - Introduction and principles for open data;
- Introduction to the semantic web and linked data, its main use cases and the expected benefits;
- Overview of semantic web standards and software available to use them;
- Semantic web and official statistics: Overview of some vocabularies relevant to official statistics (RDF Data Cube Vocabulary for representing multi-dimensional “data cubes” in RDF, StatDCAT-Application Profile for the description of statistical datasets, XKOS extending the Simple Knowledge Organization System for the needs of statistical classifications,…);
- Overview of existing open data portals (including national and European data portals);
- Overview of the use of linked data/metadata to produce innovative product for end users product (apps);
- Examples of data sources and of publication of official statistics as LOD (national and European);
- Hands on producing and publishing Linked Open Statistical Data (LOSD) from CSV and JSON-stat to RDF (using the ESSnet LOSD platform);
- Hands on designing apps based on linked data;
- Issues and challenges, future trends and projects.
|
| Expected Outcome | Support official to improve their data management skills in exploring feasible data sources, finding publications, data portals and how to publish them. |
| Training Methods | - Presentations and lectures
- Exchange of views/experiences on national practices
- Exercises
|
| Required Reading | Linked Open Data at Eurostat https://ec.europa.eu/eurostat/web/nuts/linked-open-data |
| Suggested Reading | |
| Required Preparation | Prepare management own management tasks form experience and problems faced. |
Trainer(s)/
Lecturer(s) | Miroslaw Migacz (Independent expert) Eoin McCuric (Independent expert) |
