Warning:
This wiki has been archived and is now read-only.
Best Practices/Standardized statistical data processing
Share-PSI 2.0 Best Practice
Source: Best_Practices/Publishing_Statistical_Data_In_Linked_Data_Format
Contents
Outline
Publishing statistical data as Linked Data on the basis of W3C’s Data Cube vocabulary (http://www.w3.org/TR/vocab-data-cube/) which specifies an approach for the expression of the data in a standardised machine-readable way as well as identifying a recommended set of metadata terms to describe the datasets.
Management summary
Challenge
Statistical data is currently published in a range of formats and standards that do not allow linking across datasets.
Solution
If the data produced by government organizations such as Statistical Offices, National Banks, Employment services, etc. are published in Linked Data Format, the process of collecting and monitoring socio-economic indicators can be considerably improved.
Best Practice identification
Why is this a Best Practice? What’s the impact of the Best Practice
The approach contributes to the standardization of the process of publishing and re-use of multi-dimensional data on the Web.
Links to the PSI Directive
Why is there a need for this Best Practice?
To spread experience and encourage government organisations to follow existing approaches.
What do you need for this Best Practice?
Tools for automating the data extraction and publication process. The EU research community delivered many open-source tools for publishing the statistical data in Linked Data format, e.g. the LOD2 Statistical Workbench (http://wiki.lod2.eu/display/LOD2DOC/LOD2+Statistical+Workbench).
Applicability to other Member States
Many EU States (especially the Statistical Offices) already publish their data in Linked Data format. Most often these services are available on national Web portals, while the metadata is harvested on European level e.g. by the Publicdata.eu. Additionally, the European Commission maintains the Open Data Portal as a metadata catalogue available as Linked Data, see http://open-data.europa.eu/en/linked-data.
Contact info
Valentina Janev, Institute Mihajlo Pupin, valentina.janev@institutepupin.com.