ZEKNOP Data Interoperability Standard: Asset Portability and Privacy-by-Design Identity Framework

ZEKNOP Data Interoperability Standard is an open protocol for standardized asset portability and privacy-preserving identity management. The standard addresses critical inefficiencies in transferring assets, liabilities, policies, and identity data between institutions, advisors, and service providers, while embedding privacy-by-design principles to minimize data exposure. Core Components: Asset & Liability Portability Standard - Standardized data models (JSON Schema) for assets (14+ types including real estate, securities, commodities, cryptocurrencies), liabilities (11+ types), and insurance policies (12+ types), enabling automated transfer via OAuth 2.0 consent flows. Granular Identity Framework - Privacy-by-design identity data structure with verification levels (pseudonymous → official) and minimal disclosure patterns, allowing services to request only necessary identity attributes. Consent Management - OAuth 2.0 authorization with granular scopes enabling precise control over what data is shared with which consumer. Key Innovations Disclosed: 10 granular identity blocks linked by universal user identifiers: pseudonymous, contact, address, financial, KYC, documents, biometric, membership, digital life Derived identity claims (e.g., "isPEP: false", "isOver18: true") without exposing underlying documents or birth dates Privacy-by-design patterns: zero-knowledge flows (eshops receive email only, carriers receive shipping address only), banks receive KYC status without passport copies, social networks verify age without birth dates External type registries: Extensible hierarchical naming for assets, liabilities, and policies (e.g., eu.banking.current_account, us.retirement.401k) enabling jurisdictional variations and new financial instruments Jurisdictional data models: Core fields (mandatory) plus jurisdiction-specific extensions, enabling cross-border data portability with fallback types Standardized financial data models enabling cross-institutional interoperability (14+ asset types, 11+ liability types, 12+ policy types) Data migration right: Users can transfer complete datasets between custodians, old custodians invalidate migrated data to reduce exposure risk Audit trail for consent and data access events with GDPR compliance Scope: This publication establishes prior art for the data model structures, API patterns, privacy principles, and data portability workflows that form the open interoperability layer. Specific identity verification mechanisms, cryptographic implementations, and system architectures are intentionally excluded and subject to separate technical protocols (see Section 10: Scope of Defensive Publication).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-21
DOI
https://doi.org/10.5281/zenodo.17666290
Primary Topic
Financial Reporting and XBRL
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ZEKNOP Data Interoperability Standard: Asset Portability and Privacy-by-Design Identity Framework

Zenodo (CERN European Organization for Nuclear Research)
Financial Reporting and XBRL
article

ZEKNOP Data Interoperability Standard: Asset Portability and Privacy-by-Design Identity Framework

article en

Abstract

ZEKNOP Data Interoperability Standard is an open protocol for standardized asset portability and privacy-preserving identity management. The standard addresses critical inefficiencies in transferring assets, liabilities, policies, and identity data between institutions, advisors, and service providers, while embedding privacy-by-design principles to minimize data exposure. Core Components: Asset & Liability Portability Standard - Standardized data models (JSON Schema) for assets (14+ types including real estate, securities, commodities, cryptocurrencies), liabilities (11+ types), and insurance policies (12+ types), enabling automated transfer via OAuth 2.0 consent flows. Granular Identity Framework - Privacy-by-design identity data structure with verification levels (pseudonymous → official) and minimal disclosure patterns, allowing services to request only necessary identity attributes. Consent Management - OAuth 2.0 authorization with granular scopes enabling precise control over what data is shared with which consumer. Key Innovations Disclosed: 10 granular identity blocks linked by universal user identifiers: pseudonymous, contact, address, financial, KYC, documents, biometric, membership, digital life Derived identity claims (e.g., "isPEP: false", "isOver18: true") without exposing underlying documents or birth dates Privacy-by-design patterns: zero-knowledge flows (eshops receive email only, carriers receive shipping address only), banks receive KYC status without passport copies, social networks verify age without birth dates External type registries: Extensible hierarchical naming for assets, liabilities, and policies (e.g., eu.banking.current_account, us.retirement.401k) enabling jurisdictional variations and new financial instruments Jurisdictional data models: Core fields (mandatory) plus jurisdiction-specific extensions, enabling cross-border data portability with fallback types Standardized financial data models enabling cross-institutional interoperability (14+ asset types, 11+ liability types, 12+ policy types) Data migration right: Users can transfer complete datasets between custodians, old custodians invalidate migrated data to reduce exposure risk Audit trail for consent and data access events with GDPR compliance Scope: This publication establishes prior art for the data model structures, API patterns, privacy principles, and data portability workflows that form the open interoperability layer. Specific identity verification mechanisms, cryptographic implementations, and system architectures are intentionally excluded and subject to separate technical protocols (see Section 10: Scope of Defensive Publication).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 30%
Financial Reporting and XBRL
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.