MIRVA - O4 Technology Guidelines
This survey is organised to collect and analyze open recognition technologies in the frame of Erasmus+ MIRVA project (
To know more about open recognition, please see the Open Recognition Framework:
Tell us a technology or platform that can be used for Open Recognition
Do you have a specific use case about this technology that you would like us to know about? Tell us about your experience with it, or leave a URL
How would you classify this technology?
Service leveraging digital credentials
Platform to present one's own profile
HR Management system
Taxonomy or Competency framework
What was the main purpose in using this technology?
Show trust network
Build trust network
Allow learner to show and prove skills outside of learning environment
Allow assessment to happen independently from learning
Highlight existing skills
Allow learner to build own learning path
Build a community
Tracing a learning path
What kind of learning is implied by this technology?
No learning implied
What kind of recognition is enabled by this technology?
Is this technology a standard?
How open is this technology (i.e. is it easy to connect to it)?
It's not possible to connect to it
It's intrinsecally open
How widespread is this technology?
Only specialists know about it
Everybody accessing the internet is using it
Is this technology open source?
Is the recognition produced by this technology verifiable?
A reader can verify that information and data are correct and up to date
It is transparent: all data is available
Data is immutable
A reader can verify this recognition with confidence in one click
It is easily accessible: there is no Sign In Walls Or Accounts For Users
It is easily accessible: it can be leveraged by Third Party Verifiers
Is this technology trustable? Does it provied contextual information that makes it easy to decide whether it should be trusted or not?
Reader must verify autonomously how trustable other parties are
A lot of contextual information is given and properly highlighted, so the reader does not even need to leave the page
Is the recognition produced by this technology shareable?
It can be shared on-line (e.g. embedded in web site or e-mail)
Administrable (recognition owner can share only part of the data)
Recognition owner can allow publishing
Recognition owner can allow third parties to access data
It is shareable by design since it is an open technology
Is the recognition produced by this technology portable?
Yes: if the platform who generated it disappears I will still be able to leverage the recognition I got on other compatible platforms
No, I don't think there is a way to export this recognition towards other platforms
Do you have any other comment for us?
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