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Our research at the Department of Computer Science, University of Oxford aspired to quantify in an objective manner the value of information exchanges among various stakeholders as a key enabler to open data sharing.
We started modeling information flows in many-to-many collaborative environments, in order to quantify each party’s contribution to the discourse with the aim to cultivate a collaborative culture among teams.
Our theory was proof tested with a real case study in the fields of electoral predictions and subsequently in the financial and banking domains via the meta-analysis of complex processes.
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Integrating a Verb-based Access Control Model with xAPI
This seems like a very cool integration. I think you are correct in that you could use verbs as a taxonomy of “rights” in such a system. I’d hope too that such a taxonomy could be used in an interoperable way across all such systems. I feel that verbs and their ability to differentiate behaviors are the key to value in xAPI.
Verb-based ACM and IBM's Ethical Framework for big data and analytics
I completely agree with your assertion that simple access rights are not sufficient and the context of the request is key. This point is increasingly important as more data is brought together for multiple purposes (your many-to-many point). I would also say that the context of all requests is important too. From a pure security/privacy point of view there are two fundamental requests to answer ‘who knew this fact’ and ‘what does this person know’. The model allows this.
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