Skip to main content
SpringerLink
Log in
Book cover

Open Data for Education pp 135–152Cite as

Teaching Linked Open Data Using Open Educational Resources

  • Chapter
  • First Online:

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

Abstract

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    http://www.euclid-project.eu.

  2. 2.

    http://creativecommons.org/licenses/by/3.0.

  3. 3.

    https://musicbrainz.org/doc/MusicBrainz_Database.

  4. 4.

    http://www.fluidops.com/en/portfolio/information_workbench.

  5. 5.

    https://developer.seevl.fm.

  6. 6.

    https://bitbucket.org/openrdf/sesame.

  7. 7.

    http://openrefine.org.

  8. 8.

    https://gatecloud.net.

  9. 9.

    http://www.w3.org/TR/r2rml.

  10. 10.

    http://www.slideshare.net/EUCLIDproject.

  11. 11.

    http://new.livestream.com.

  12. 12.

    http://vimeo.com/euclidproject.

  13. 13.

    http://www.euclid-project.eu/resources/exercises.

  14. 14.

    https://www.linkedin.com/groups?gid=4917016.

  15. 15.

    http://edsa-project.eu.

References

  1. Atkins, D.E., Brown, J.S., Hammond, A.L.: A review of the open educational resources (OER) movement: Achievements, Challenges, and New Opportunities. The William and Flora Hewlett Foundation (2007)

    Google Scholar 

  2. Attwood, R.: OER university to cut cost of degree. Times Higher Education (2011). http://www.timeshighereducation.co.uk/story.asp?storycode=415127

  3. Benjamins, R., Jariego, F.: Open Data: A ‘No-Brainer’ for all. Telefónica Innovation Hub (2013). http://blog.digital.telefonica.com/2013/12/05/open-data-intelligence/

  4. Berners-Lee, T.: Linked Data - Design Issues (2006). http://www.w3.org/DesignIssues/LinkedData.html

  5. Bizer, C., Heath, T., Berners-Lee, T.: Linked data—The story so far. Int. J. Semant. Web Inf. Syst. 5(3), 1–22 (2009)

    Article  Google Scholar 

  6. Cadwalladr, C.: Do online courses spell the end for the traditional university? The Guardian (2012). http://www.theguardian.com/education/2012/nov/11/online-free-learning-end-of-university

  7. Davenport, T.H., Patil, D.J.: Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review (2012). http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century

  8. Glick, B.: Government calls for more data scientists in the UK. Computer Weekly (2013). http://www.computerweekly.com/news/2240208220/Government-calls-for-more-data-scientists-in-the-UK

  9. Kanwar, A., Uvalić-Trumbić, S., Butcher, N.: Basic Guide to Open Educational Resources (OER). Commonwealth of Learning & UNESCO (2011). http://www.col.org/resources/publications/Pages/detail.aspx?PID=357

  10. Magoulas, R., King, J.: Data Science Salary Survey: Tools, Trends, What Pays (and What Doesn’t) for Data Professionals, O’Reilly (2014)

    Google Scholar 

  11. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute (2011). http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation

  12. McAfee, A., Brynjolfsson, E.: Big Data: The Management Revolution. Harvard Business Review (2012). http://hbr.org/2012/10/big-data-the-management-revolution/

  13. McKenna, B.: Demand for big data IT workers to double by 2017, says eSkills. Computer Weekly (2012). http://www.computerweekly.com/news/2240174273/Demand-for-big-data-IT-workers-to-double-by-2017-says-eSkills

  14. OEDB, 80 Open Education Resource (OER) Tools for Publishing and Development Initiatives (2007). http://oedb.org/library/features/80-oer-tools

  15. Open Knowledge Foundation. Open Data Handbook Documentation (2012). http://opendatahandbook.org/pdf/OpenDataHandbook.pdf

  16. Sharples, M., Mcandrew, P., Weller, M., Ferguson, F., Fitzgerald, E., Hirst, T., Mor, Y., Gaved, M., Whitelock, D.: Innovating Pedagogy Exploring new forms of teaching, learning and assessment, to guide educators and policy makers. The Open University (2012). http://www.open.ac.uk/personalpages/mike.sharples/Reports/Innovating_Pedagogy_report_July_2012.pdf

  17. Simperl, E., Norton, B., Acosta, M., Maleshkova, M., Domingue, J., Mikroyannidis, A., Mulholland, P., Power, R.: Using Linked Data Effectively: iPad Edition, The Open University (2013)

    Google Scholar 

  18. Technology Enhanced Knowledge Research Institute (TEKRI). Open Education Resources (OER) for assessment and credit for students project: Towards a logic model and plan for action. Athabasca University (2011). http://auspace.athabascau.ca/bitstream/2149/3039/1/Report_OACS-FinalVersion.pdf

  19. Wiley, D.: On the sustainability of open educational resource initiatives in higher education. OECD Centre for Educational Research and Innovation (CERI) (2007). http://www.oecd.org/dataoecd/33/9/38645447.pdf

Download references

Acknowledgment

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

Author information

Authors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Alexander Mikroyannidis & John Domingue

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Maria Maleshkova

  3. British Museum, London, UK

    Barry Norton

  4. University of Southampton, Southampton, UK

    Elena Simperl

Authors
  1. Alexander Mikroyannidis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John Domingue
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Maria Maleshkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Barry Norton
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Elena Simperl
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alexander Mikroyannidis .

Editor information

Editors and Affiliations

  1. ITMO University, St. Petersburg, Russia

    Dmitry Mouromtsev

  2. Knowledge Media Institute, Milton Keynes, United Kingdom

    Mathieu d’Aquin

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

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. https://doi.org/10.1007/978-3-319-30493-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30493-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30492-2

  • Online ISBN: 978-3-319-30493-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation