# Data Layer

#### **2.1.1 Purpose of the Data Layer**

The **Data Layer** in NSF underpins all clause logic, credential issuance, simulation input, and audit integrity. Its design solves three foundational problems:

1. **Where and how verifiable governance data is stored**
2. **How data provenance is guaranteed, especially for machine inputs**
3. **How institutions, agents, and nodes access authoritative state consistently across distributed systems**

Unlike generic blockchains or cloud databases, the NSF Data Layer is engineered for **policy-enforceable, privacy-compliant, jurisdiction-aware, cryptographically provable data flows** that serve governance—not just transactions.

***

#### **2.1.2 Data Types Governed in NSF**

| **Data Type**               | **Role in NSF**                                                          |
| --------------------------- | ------------------------------------------------------------------------ |
| **Structured Sensor Input** | EO, IoT, weather, air quality, satellite feeds for clause execution      |
| **Credential State**        | VC issuance metadata, revocation status, subject DID bindings            |
| **Simulation Input**        | Time-series, economic, demographic, and environmental data for foresight |
| **Clause Source Data**      | Legal or policy documents transformed into Smart Clause logic            |
| **CAC Records**             | Execution outputs from TEEs or ZK circuits                               |
| **Governance Logs**         | Voting records, proposal metadata, DAO actions                           |
| **Metadata Graphs**         | Jurisdictional tags, clause-to-clause dependencies, lineage trees        |

These are **structured, signed, and stored** for both short-term execution and **long-term institutional memory**.

***

#### **2.1.3 Storage Model: Distributed, Sovereign, Redundant**

NSF supports modular backend configurations, including:

* **On-premise sovereign deployments** (ministries, UN agencies, regulators)
* **IPFS-style decentralized object stores** for clauses and metadata
* **Cloud-compatible node replication** across trusted data centers
* **Archival anchors** to third-party networks (e.g., Filecoin, Arweave, institutional repositories)
* **Hybrid data sharding** between simulation-heavy datasets and lightweight mobile runtimes

Storage is **append-only**, hash-indexed, and access-controlled via verifiable credentials. No node is required to store all data. Sharding policies can be set by:

* Domain (e.g., health vs transport)
* Jurisdiction (e.g., African Union vs EU)
* Sensitivity (e.g., public, quorum-gated, TEE-access only)

***

#### **2.1.4 Provenance: Canonical Hash Anchoring and Traceability**

Every data object—whether input or output—is:

* **Signed at source** (e.g., by sensor firmware, DAO node, credential issuer)
* **Hashed and time-stamped**
* **Linked to clause ID, jurisdiction, and purpose metadata**
* **Stored with cryptographically signed provenance metadata bundles (PMBs)**

Provenance logs define:

* Who generated the data
* What conditions or devices were involved
* Whether the data was modified or preprocessed
* Whether it was simulated, attested, or directly executed upon

This prevents **data forgery, duplication, or misuse** in high-trust systems like disaster response, medical credentialing, or treaty monitoring.

***

#### **2.1.5 Availability and Access Controls**

The Data Layer uses **DID-anchored access policies**:

* Users, machines, and institutions must hold verifiable credentials to read/write sensitive data
* Clause execution environments (TEEs, agents, oracles) request data via **privilege-aware RPC interfaces**
* Certain data objects (e.g., satellite feeds, CAC logs) are **globally accessible**, while others (e.g., biometric credentials, restricted simulations) are **governance-gated**

Availability logic ensures:

* **Redundancy across trust zones**
* **Latency-optimized edge distribution** for response-critical systems
* **Audit logging of access attempts**, linked to DID, clause, and jurisdiction

***

#### **2.1.6 Machine-Readable and Clause-Aware Indexing**

All data objects are:

* **Tagged with clause compatibility metadata** (e.g., `usableWith: ISO-TraceabilityClause@v2`)
* Indexed by **jurisdiction, schema, and temporal scope**
* Associated with **semantic identifiers** for search and cross-system queries

This enables clause execution engines to:

* Automatically validate input eligibility
* Reject untrusted or misaligned data
* Search for historical precedents or similar simulations
* Retrieve “clause-ready” datasets by domain

***

#### **2.1.7 Interoperability and Format Standards**

NSF supports and extends:

* **JSON-LD** for linked data
* **W3C Verifiable Credentials** for credential states
* **GeoTIFF, NetCDF, CSV, and Parquet** for climate and EO data
* **AuditLog and OpenTelemetry-compatible tracing** for runtime visibility
* **FAIR principles (Findable, Accessible, Interoperable, Reusable)** across scientific domains

NSF nodes can import/export datasets to ISO, ICAO, WHO, and UN registries using **wrapper protocols**, enabling co-validation without reimplementation.

***

#### **2.1.8 Data Deletion, Retention, and Sovereignty Logic**

All data is governed by **clause-defined retention and deletion policies**:

* Some data (e.g., public clause trees, governance logs) are **permanent**
* Other data (e.g., biometrics, sensitive health records) are **ephemeral** and subject to revocation or jurisdictional deletion triggers
* Deletion is **cryptographically provable** and logged with revocation attestations

Sovereigns may host **Data Layer shards** restricted to local policy, ensuring:

* Data never leaves jurisdictional boundaries unless explicitly permitted
* Zero-trust assumptions apply across infrastructure providers
* Clause execution references remain valid even if data is purged (via CAC immutability)

***

#### **2.1.9 Zero-Knowledge Availability Proofs**

For privacy-preserving environments (e.g., refugee credentialing, sanctions compliance, climate-sensitive investment):

* NSF supports **Zero-Knowledge Proofs of Data Availability (zkDAP)**
* Allows proving that clause execution used legitimate input **without revealing the input**
* Examples:
  * An LLM verifying medical device compliance across countries without accessing patient data
  * A smart contract triggering a risk payout after validating remote sensing inputs without disclosing full satellite imagery

These ZK proofs are linked to CACs and stored as **bundled attestations**.

***

#### **2.1.10 NSF Data Layer: Summary and Role**

The Data Layer enables:

* **Tamper-proof execution inputs**
* **Verifiable lineage of every decision and credential**
* **Distributed, sovereign, privacy-aware storage**
* **Semantic, clause-linked, and jurisdiction-specific indexing**
* **Cross-jurisdiction simulation readiness and data mobility**

Without a cryptographically provable, machine-compatible, and governance-controlled data foundation, no clause can execute, no credential can be issued, and no trust layer can scale.

The Data Layer is where **policy intent becomes data-ready governance reality**.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.therisk.global/organization/standardization/nexus-sovereignty/ii.-architecture/data-layer.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.