Data Ecosystems are socio-technical complex networks in which actors interact and
collaborate with each other to find, archive, publish, consume, or reuse data as well as to …

Purpose The data economy mainly relies on the surveillance capitalism business model,
enabling companies to monetize their data. The surveillance allows for transforming private …

There is an increasing demand for opening data provided by public and private
organisations. Various organisations have already started to publish their data and …

Open data ecosystems are expected to bring many advantages, such as stimulating citizen
participation and innovation. However, scant attention has been given to what constitutes an …

Data Ecosystems are socio-technical networks that enable collaboration between
autonomous actors such as enterprises, institutions, and individuals. While Data Ecosystems …

The movement to publish government data is an opportunity to populate the linked data Web
with data of good provenance. The benefits range from transparency to public service …

There has been a recent, tangible growth in RDF published on the Web in accordance with
the Linked Data principles and best practices, the result of which has been dubbed the “Web …

Defect data contains knowledge about specific work conditions. In order to prevent
reoccurrence of defects, a data feedback mechanism is required. However, most defect data …

Purpose In this paper, the authors compare the open government data (OGD) ecosystems of
Mexico, Russia and the USA in an effort to extract some of the major points of similarity and …

Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow,
not on generating meaningful semantic relationships to integrate data from multiple …