Dataset Quality Assessment (part of WP5 of the Diachron EU FP7 project)
D2V is a flexible and powerful tool for defining, representing and detecting custom changes between datasets versions. We treat changes as first-class citizens, in a way that supports different modes of navigation on the deltas between any pair of versions, as well as the visualization of the evolution history of a given dataset.
Maven Project with services which correspond on the Change Detection and Validation/Repair Modules
The change detection backend
Extension for OpenRefine im context of Task 3.3 (Data cleaning ) WP3
Luzzu - A Quality Assessment Framework for Linked Open Datasets
A UI for Quality Assessment
Deliverable 5.2 Documentation