DDE Presented to Technology Consortium in India
As part of the Human Colossus Foundation's rollout of Dynamic Data Economy (DDE) in July, the HCF founders delivered Data Governance and Semantics, a three-part series of talks to the Indian tech community as part of Hasgeek's Privacy Mode initiative, a forum of discussion for understanding the privacy and security needs of the Indian tech ecosystem through guides, research, collaboration, events, and conferences.
This Hasgeek initiative aims to help its audience become acquainted with the most efficient approaches and practices to data management, reducing operational risk to businesses. As a forum for experts across multiple sectors, blending in tools, frameworks, principles and design sensibilities, the project encourages organisational teams to address blind spots and treat data governance as a shared responsibility instead of a siloed approach to policy-making, processes and requirements.
The "Data Governance and Semantics" project featured three webinars introducing DDE as a decentralised trust infrastructure acutely aligned with the current movement toward data exchange models in the Economic domain where actors regain transactional sovereignty to share accurate information bilaterally.
The European Data Strategy, Canadian Data Strategy, and new Swiss e-ID initiatives demonstrate governmental support for a new paradigm shift in national data management schemes. Moreover, this particular Hasgeek project aligns with the revision of India's current data protection regulation.
The DDE conceptual infrastructure gives an equal weight of importance to the three core data domains of decentralised semantics, decentralised authentication, and distributed data governance. The HCF founders presented the core DDE concepts in three webinar sessions which interested parties can access via the Hasgeek platform or the Human Colossus Foundation video platform.
By incorporating first-principle design methodology into the foundational modelling of the core data domains, a network-agnostic system is possible, offering the cryptographic assurance of verifiable digital interactions and the human accountability of socio-economic governance frameworks.
Part 1: Decentralised semantics
Presented by: Paul Knowles, Head of the Advisory Council
Date: Tuesday, July 5th, 2022
This talk focused on decentralised semantics and how the segregation of task-oriented objects within a standard layered architecture can provide a long-term solution for unifying a data language within distributed data ecosystems. From that lens, decentralised semantics is ontology-agnostic, offering a harmonisation solution between data models and data representation formats while providing a roadmap to resolve privacy-compliant data sharing between servers, networks, and across sectoral or jurisdictional boundaries.
What is “Decentralised semantics”?
Data semantics is the study of the meaning and use of data in any digital environment. In data semantics, the focus is on how a data object represents a concept or object in the real world.
Decentralised semantics describes a data modelling methodology of layering and cryptographically binding task-specific objects (overlays) to a standard capture base, which, when combined, defines a complex digital object. The segregation of task-specific overlays enables dynamic semantic interoperability in the construction process of any digital object without compromising the textual integrity of the semantic structure, its modular components, or the relationship between those objects.
Decentralised semantics provides a powerful solution for semantic interoperability, data harmonisation, internationalisation, and dynamic presentation.
Part 2: Decentralised authentication
Presented by: Robert Mitwicki, Head of the Technology Council
Date: Tuesday, July 12th, 2022
The second talk focused on decentralised authentication and how a decentralised key management infrastructure, providing self-certifying identifier (SCID) issuance underpinned by one-way cryptographic functions, can offer information uniqueness from captured entropy. Furthermore, a decentralised authentication system must be ledger-agnostic, with its identifiers interoperable across ecosystems, platforms, and networks.
What is “Decentralised authentication”?
Data provenance refers to the tracing and recording of the origin of data and its movement between locations. If digital data is tamper-proof (i.e. provable to have not been corrupted after its creation), it can be assumed to be authentic. Data authentication focuses on timestamping data inputs at index time, determining each tractual event as authentic.
Decentralised authentication describes a key management methodology of cryptographically binding SCIDs to an associated log that compiles the history of all uses or changes to the public/private key pair, ensuring verifiable identifier provenance throughout any ambient infrastructure. Immutable ordering guarantees the tractual authenticity of the recorded event underpinning any systematic data input. Furthermore, all system identifiers must remain network-agnostic, enabling identifier interoperability within and across any distributed data ecosystem.
Decentralised authentication provides a powerful solution for identifier interoperability, data provenance, data-intensive event streaming, and event sourcing applications.
Part 3: Distributed data governance
Presented by: Dr Philippe Page, Head of the Knowledge Council
Date: Tuesday, July 19th
The final talk focused on distributed governance and how a multi-stakeholder Data Governance Administration (DGA) provides the legal provision to assume responsibility for the contextual veracity of data transactions under its administrative control on behalf of the citizens and legal entities it serves. The role of a DGA aligns closely with that of a “data intermediary” as described in the European Parliament’s recently proposed Data Governance Act, serving as a mediator between those who wish to make their data available and those who seek to leverage that data.
What is “Distributed data governance”?
Data governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models, which describe who can take what actions with what information and when, under what circumstances, and using what methods.
Distributed data governance describes an operational framework for the provision of rules, common standards and practices, infrastructures, and a distributed governance framework to empower individuals through increased digital access to (and control of) their electronic personal data, nationally and across borders, fostering a genuine single market for electronic record systems, relevant components, and high-risk artificial intelligence (AI) systems. Multi-stakeholder participation within DGAs guarantees the contextual veracity of purpose-driven ecosystem policy while providing a consistent, trustworthy, and efficient set-up for personal data use for research, innovation, and regulatory activities.
Distributed data governance provides a powerful solution for multi-stakeholder collaboration of rules and regulations for safe and secure data sharing within and across distributed data ecosystems.
We wish to express our gratitude to Hasgeek for providing a forum to share our knowledge of the DDE data domains with some of the pioneers of the Indian tech community. Hasgeek is a Bangalore-based consortium of practitioners who share learnings on pressing privacy concerns in the digital space.
For more information about the “Data Governance and Semantics” presentations, part of Hasgeek’s Privacy Mode initiative, check out their newsletter here.
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