Re: DPV TOM extension with more PETs

Dear Freek,

Thanks for reaching out to the DPVCG. It is super nice to see that SURF is looking at the work we do in DPV.

I would be very happy and interested to work with you on these topics. Maybe we should have a follow up call to discuss it in more detail?

Best regards,
Beatriz Esteves
Postdoctoral Researcher
IDLab, Ghent University - imec

Enviado a partir do Outlook para iOS<https://aka.ms/o0ukef>
________________________________
De: Freek Dijkstra <freek.dijkstra@surf.nl>
Enviado: Thursday, March 26, 2026 11:01:48 AM
Para: public-dpvcg@w3.org <public-dpvcg@w3.org>
Assunto: DPV TOM extension with more PETs

Dear DPV CG members,

We are looking for ways to describe conditions when making sensitive
data available for re-use.
For the access control, we are likely to use the DUO (digital usage
ontology) by GA4GH.

However, that does not cover the technical measures that a data provider
takes when making sensitve data available.
Usually, this boils down to a set of privacy enhancing technologies
(PETs) like pseudonimization, filtering the data, and only making the
data available for analysis, but not for download.

The DPV TOM module describes some of these PETs, like pseudonimyzation,
synthetic data, secure MPC, and (fully) homomorphic encryption.
However, some others are missing. In particular algorithm-to-data and
federated machine learning.

Would there be interest to add these concepts as technological measures
to future versions of DPV?
If not, would anyone be able to recommend other ontologies that
describes these concepts, prefable one that works will with DPV and/or ODRL.

The main concept we're interested in is algorithm-to-data: rather than
making sensitive data available for download, the data provider runs the
analysis requested by a researcher and only makes the result of that
analysis available. There are a few variants, but a variant were the
data is made available in a secure environment is now referred to as a
"Trusted Research Environment" (TRE) in academic context. We and some of
our partners are offering such an environment, and we like to describe
this in a machine-readable format.

Wih kind regards,
Freek Dijkstra

--
Freek Dijkstra
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