euclid project full details
Timeline:01 May 2012 - 30 Apr 2014
EdUcational Curriculum for the usage of LInked Data
As the popularity of Linked Data increases, so does the demand for data practitioners possessing the skills and knowledge necessary to understand its main concepts, and apply the associated technologies for data-analytics purposes. The availability of such expertise is a driver for the sustainable future development of the Linked Data community. It can be achieved through targeted knowledge transfer, in particular through easily accessible training programs addressing the real needs of data practitioners, as proposed in the EUCLID project.
EUCLID will facilitate professional training for data practitioners aiming to use Linked Data in their daily work, through a curriculum implemented as a combination of living learning materials and activities (eBook series, webinars, face-to-face training), validated by the user community through continuous feedback.
23 Jun 2014
10 Apr 2014
17 Jan 2014
11 Sep 2013
24 Jun 2013
Mikroyannidis, A., Domingue, J., Maleshkova, M., Norton, B. and Simperl, E. (2014) Developing a Curriculum of Open Educational Resources for Linked Data, 10th annual OpenCourseWare Consortium Global Conference (OCWC), Ljubljana, Slovenia
Domingue, J., Mikroyannidis, A. and Dietze, S. (2014) Online Learning and Linked Data: Lessons Learned and Best Practices, 23rd international conference on World Wide Web, Seoul, Korea, pp. 191-192, International World Wide Web Conferences Steering Committee
Simperl, E., Acosta, M., Dimitrov, M., Domingue, J., Haase, P., Maleshkova, M., Mikroyannidis, A., Norton, B. and E.Vidal, M. (2014) EUCLID: EdUcational Curriculum for the usage of LInked Data, 11th European Semantic Web Conference (ESWC), Anissaras, Crete, Greece, Springer
Mikroyannidis, A., Domingue, J. and Simperl, E. (2014) Raising the Stakes in Linked Data Education, ERCIM News, Special Theme Linked Open Data, 96, pp. 15-16
Domingue, J., d'Aquin, M., Simperl, E. and Mikroyannidis, A. (2014) The Web of Data: Bridging the Skills Gap, IEEE Intelligent Systems, 29, 1, pp. 70-74