Education Research Current Organisation and Cooperation NL
Login as
Prospective student Student Employee
Bachelor Master VU for Professionals
Student Desk Exchange programme VU Graduate Winter School Honours programme VU-NT2 Semester in Amsterdam
PhD at VU Amsterdam Research highlights Prizes and distinctions
Research institutes Our scientists Research Impact Support Portal Creating impact
News Events calendar Energy in transition
Israël and Palestinian regions Women at the top Culture on campus
Practical matters Mission and core values Entrepreneurship on VU Campus
Organisation Partnerships Alumni University Library Working at VU Amsterdam
Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved in My Study Choice.
Something went wrong with processing the request.
Something went wrong with processing the request.
For all information about Ouriginal at VU, click here
Last updated on 21 October 2024
Ouriginal, formerly called Urkund, is a plagiarism scanner that allows teachers to check how similar students' texts are to each other and to other texts.

Please note:

  • Ouriginal will go offline after end of P3, on 24 February and be replaced by Similarity.
  • Similarity, the new plagiarism scanner, is available in Canvas in the week of December 9, 2024.
  • Similarity must be used from P4 2024/2025.

What can you do with Ouriginal?

  • Quickly scan for plagiarism by looking at a percentage of similarity
  • Easily interpret the plagiarism report
  • Working fast and simple by integrating into Canvas

More information

All information about the use of Ouriginal, such as access to Ouriginal, instructions, applications, use-cases, privacy guidelines and FAQs, can be found on the Ouriginal Canvas page.

More digital tools

Quick links

Homepage Culture on campus VU Sports Centre Dashboard

Study

Academic calendar Study guide Timetable Canvas

Featured

VUfonds VU Magazine Ad Valvas

About VU

Contact us Working at VU Amsterdam Faculties Divisions
Privacy Disclaimer Veiligheid Webcolofon Cookies Webarchief

Copyright © 2024 - Vrije Universiteit Amsterdam