Matches in Ruben’s data for { <https://dx.doi.org/10.1016/j.dib.2026.113216> ?p ?o }
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- j.dib.2026.113216 author beatriz_esteves.
- j.dib.2026.113216 author me.
- j.dib.2026.113216 creator beatriz_esteves.
- j.dib.2026.113216 creator me.
- j.dib.2026.113216 about consent.
- j.dib.2026.113216 about GDPR.
- j.dib.2026.113216 about privacy.
- j.dib.2026.113216 about trust.
- j.dib.2026.113216 about reasoning.
- j.dib.2026.113216 about personal_data.
- j.dib.2026.113216 author beatriz_esteves.
- j.dib.2026.113216 author me.
- j.dib.2026.113216 coparticipatesWith beatriz_esteves.
- j.dib.2026.113216 coparticipatesWith me.
- j.dib.2026.113216 type ScholarlyArticle.
- j.dib.2026.113216 type Article.
- j.dib.2026.113216 type Document.
- j.dib.2026.113216 type Q386724.
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- j.dib.2026.113216 P50 beatriz_esteves.
- j.dib.2026.113216 P50 me.
- j.dib.2026.113216 maker beatriz_esteves.
- j.dib.2026.113216 maker me.
- j.dib.2026.113216 title "Lifting the Cage of Consent: A Data Perspective on Evolvable Trust Relationships".
- j.dib.2026.113216 isPartOf data_in_brief.
- j.dib.2026.113216 name "Lifting the Cage of Consent: A Data Perspective on Evolvable Trust Relationships".
- j.dib.2026.113216 label "Lifting the Cage of Consent: A Data Perspective on Evolvable Trust Relationships".
- j.dib.2026.113216 name "Lifting the Cage of Consent: A Data Perspective on Evolvable Trust Relationships".
- j.dib.2026.113216 topic consent.
- j.dib.2026.113216 topic GDPR.
- j.dib.2026.113216 topic privacy.
- j.dib.2026.113216 topic trust.
- j.dib.2026.113216 topic reasoning.
- j.dib.2026.113216 topic personal_data.
- j.dib.2026.113216 subject consent.
- j.dib.2026.113216 subject GDPR.
- j.dib.2026.113216 subject privacy.
- j.dib.2026.113216 subject trust.
- j.dib.2026.113216 subject reasoning.
- j.dib.2026.113216 subject personal_data.
- j.dib.2026.113216 authorList b0_b1881.
- j.dib.2026.113216 topic consent.
- j.dib.2026.113216 topic GDPR.
- j.dib.2026.113216 topic privacy.
- j.dib.2026.113216 topic trust.
- j.dib.2026.113216 topic reasoning.
- j.dib.2026.113216 topic personal_data.
- j.dib.2026.113216 abstract "Those concerned about privacy worry that personal data changes hands too easily. We argue that the actual challenge is the exact opposite: our data does not flow well enough, cultivating a reliance on questionable and often unlawful shortcuts in a desperate bid to survive within today’s data-driven economy. Exclusively punitive interpretations of protective legislation equally hinder “doing the right thing” and “doing the wrong thing”, in an abject mistranslation of how ethical choices correspond to financial cost. As long as privacy-friendly data treatment proves more expensive or complicated than readily available alternatives, economic imperatives will continue to outrank their legal counterparts. We examined existing international and European legislation, looking at both requirements for consent and other legal grounds that go beyond it, with the aim of facilitating mutually beneficial interactions, rather than more narrowly focusing on the prevention of undesired behaviors. Building on this legal reasoning, we propose the implementation of evolvable trust systems as a scalable alternative to the omnipresent yet deeply broken delusion of ill-informed consent. Our proposal encourages a redirection of additional efforts towards the technolegal alignment of economic incentives with societal ones, reminding us that—while trust remains an inherently human concept—technology can support people in evolving and scaling their relationships to meet the increasingly complex demands of current and future data landscapes.".
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- j.dib.2026.113216 page esteves_dib_2026.