Digital Agenda Scoreboard: A Statistical Anatomy of Europe's way into the Information Age

  • screenshot

Evidence-based policy is policy informed by rigorously established objective evidence. An important aspect of evidence-based policy is the use of scientifically rigorous studies to identify programs and practices capable of improving policy relevant outcomes. Statistics represent a crucial means to determine whether progress is made towards policy targets. In May 2010, the European Commission adopted the Digital Agenda for Europe (DAE), a strategy to take advantage of the potential offered by the rapid progress of digital technologies. The DAE is part of the overall Europe2020 strategy for smart, sustainable and inclusive growth. In order to chart the progress of both the announced policy actions and the key performance targets a scoreboard is published, thus allowing the monitoring and benchmarking of the main developments of information society in European countries. 

Homepage Homepage @ LOD2

The Digital Agenda contains commitments to undertake 101 specific policy actions (78 actions to be taken by the Commission, including 31 legal proposals, and 23 actions proposed to the Member States) intended to stimulate a virtuous circle of investment in and usage of digital technologies. It identifies 13 key performance targets to show whether Europe is making progress in this area. In order to chart the progress of both the announced policy actions and the key performance targets, the DAE calls for the publication of an annual scoreboard, supported by a large set of statistical indicators allowing monitoring and benchmarking of the main developments of information society in European countries. As an outcome, the visualization tool of the Digital Agenda Scoreboard (DAS) was published in June 2011. This application was developed for interested citizens and professionals (e.g. journalists) providing them with the possibility to browse statistical data with suitable visualization and interaction features. In addition to these human-readable access methods, machine-readable access facilitating re-usage and interlinkability of the underlying data in a dereferencable way is provided by means of RDF and Linked Open Data.

Project Team

Former Members

Partner

Publications

by (Editors: ) [BibTex of ]

News

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"