Teaching Linked Open Data Using Open Educational Resources

  • Alexander MikroyannidisEmail author
  • John Domingue
  • Maria Maleshkova
  • Barry Norton
  • Elena Simperl
Part of the Lecture Notes in Computer Science book series (LNCS, 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.


Open educational resources Massive open online courses Linked open data Big data Ebooks Data science 



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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Alexander Mikroyannidis
    • 1
    Email author
  • John Domingue
    • 1
  • Maria Maleshkova
    • 2
  • Barry Norton
    • 3
  • Elena Simperl
    • 4
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK
  2. 2.Karlsruhe Institute of TechnologyKarlsruheGermany
  3. 3.British MuseumLondonUK
  4. 4.University of SouthamptonSouthamptonUK

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