- From: Harshvardhan J. Pandit <me@harshp.com>
- Date: Mon, 9 Oct 2023 12:12:33 +0100
- To: "public-dpvcg@w3.org" <public-dpvcg@w3.org>
- Cc: "beatriz.gesteves" <beatriz.gesteves@upm.es>, Mark Lizar <mark@openconsent.com>, Arthit Suriyawongkul <arthit@gmail.com>, Delaram Golpayegani <delaram.golpayegani@adaptcentre.ie>
Hi. To answer in order: Art's question of whether these would be 6 categories - yes. - Intended / Unintended - Active / Passive - Informed / Uninformed Beatriz's question on modelling these as statuses. - That's a good question. tldr; status does seem a better 'semantic model', but is also used as a category in common use. - We use 'Status' in DPV to provide context to another concept with the expectation that that context will change. In this case, only the Informed/Uninformed categorisation seems likely to change. The Active/Passive and Intended/Unintended are categorisation of data subjects that do not seem likely to change, but can still be statuses. - If you want to model this information on a data subject group/individual level, then status can be useful e.g. a specific individual - was informed or not? Same can be achieved with a category e.g. data subject is of 'type' informed. - One benefit of statuses over categories is to indicate within processing policies whether data subjects have been informed as a way to keep track of it e.g. hasDataSubjectStatus <Informed>. This is in addition to using hasNotice <Notice> to indicate the information. - Active/Passive can similarly be statuses to depict "involvement" - Intended/Unintended should be categories Mark's question on whether it is possible to represent status of notice as being current - Conformant/NonConformant concepts exist which can be used here with whatever criteria for conformance you want to indicate it with. Regards, Harsh On 02/10/2023 20:41, Mark Lizar wrote: > +1, this works well for notice signalling. > > And to extend what Beatriz mentions as for as status, active and > informed. To this point has the state of the status been considered in > modelling? > > E.g. Is the state of notice current, or not current, to indicate if > privacy is as expected or not. > > Best, > > Mark > > >> On Oct 2, 2023, at 9:46 AM, beatriz.gesteves <beatriz.gesteves@upm.es> >> wrote: >> >> Dear Delaram, >> >> I support the addition of these concepts. >> >> A question: since these concepts would be useful to use with other >> types of entities/data subjects (e.g., data subject of type >> dpv:Citizen is uninformed), already modelled in DPV, have you >> considered modelling it as a status (similarly to other statuses that >> we have in DPV e.g. activity statuses)? Or would the idea be to use as >> many data subject types as needed based on the use case? >> >> Best, >> >> Beatriz >> >> >> On 02-10-2023 13:32, Arthit Suriyawongkul wrote: >> >>> >>>> On 2 Oct 2023, at 09:08, Delaram Golpayegani >>>> <delaram.golpayegani@adaptcentre.ie> wrote: >>>> >>>> *Active Data Subject:* The data subjects who are aware of and have >>>> given consent to collection and processing of their data, e.g. an >>>> examinee sitting on an online exam proctored by an AI-based system. >>>> >>>> *Passive Data Subject*: The data subjects who are not aware of >>>> collection and processing of their data, e.g. a passenger, passing >>>> the border control check, whose data is being processed for >>>> migration monitoring. >>> Support the addition. Going to be very useful. >>> >>> "Not aware" may not fully cover the passiveness here. A passenger who >>> has some knowledge about the border control (previous knowledge or >>> reading a sign at the port) is aware of the collection. >>> From the example of online exam proctor and border control, one of >>> the possible Active / Passive cutting points is probably whether >>> during the data collection the data subject involve in the collection >>> process directly. In the first example, the data subject can see the >>> camera and knowingly that the camera is part of the exam process. >>> They may also enter some personal data by themselves as well. Compare >>> to the second example, where the data could be process well before >>> the passenger enter the port (in case of an arranged travel that such >>> the data is required by the regulation like air flight). >>> So I think the examples here will be more for Informed Data Subject >>> and Uninformed Data Subject, as Harsh discussed the sense of #1 earlier. >>> Which would make us having six categories here? : >>> - Intended / Unintended >>> - Active / Passive >>> - Informed / Uninformed >>> Cheers, >>> Art > -- --- Harshvardhan J. Pandit, Ph.D Assistant Professor ADAPT Centre, Dublin City University https://harshp.com/
Received on Monday, 9 October 2023 11:12:42 UTC