Open Data Portal Germany (OPAL) Projektergebnisse
Adrian Wilke, Axel-Cyrille Ngonga Ngomo
TL;DR
The OPAL project developed a comprehensive pipeline for data refinement, resulting in the production of 800,000 datasets in DCAT format to enhance open data accessibility in Germany.
Contribution
It introduces a complete data refinement pipeline and delivers a large-scale dataset collection in a standardized format.
Findings
800,000 datasets produced in DCAT format
Pipeline covers requirements analysis to data selection
Enhances open data availability in Germany
Abstract
In the Open Data Portal Germany (OPAL) project, a pipeline of the following data refinement steps has been developed: requirements analysis, data acquisition, analysis, conversion, integration and selection. 800,000 datasets in DCAT format have been produced.
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Taxonomy
TopicsAdvanced Database Systems and Queries