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Teaching Linked Open Data Using Open Educational Resources

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Open Data for Education

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9500))


Recent trends in online education have seen the emergence of Open Educational Resources (OERs) and Massive Open Online Courses (MOOCs) as an answer to the needs of learners and educators for open and reusable educational material, freely available on the web. At the same time, Big Data and the new analytics and business intelligence opportunities that they offer are creating a growing demand for data scientists possessing skills and detailed knowledge in this area. This chapter presents a methodology for the design and implementation of an educational curriculum about Linked Open Data, supported by multimodal OERs. These OERs have been implemented as a combination of living learning materials and activities (eBook, online courses, webinars, face-to-face training), produced via a rigorous process and validated by the data science community through continuous feedback.

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The research leading to these results has received funding from the European Community’s Seventh Framework Programme under grant agreement no 296229 (EUCLID project).

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Correspondence to Alexander Mikroyannidis .

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Mikroyannidis, A., Domingue, J., Maleshkova, M., Norton, B., Simperl, E. (2016). Teaching Linked Open Data Using Open Educational Resources. In: Mouromtsev, D., d’Aquin, M. (eds) Open Data for Education. Lecture Notes in Computer Science(), vol 9500. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30492-2

  • Online ISBN: 978-3-319-30493-9

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