TSDF Tiered Sovereignty Data Framework v0.9 pre-release GitHub

///An Indigenous Data Sovereignty Standard · Affiliated Tribes of Northwest Indians

Sovereignty forward, not an afterthought.

The Tiered Sovereignty Data Framework gives Indigenous Nations a clear, enforceable mechanism for governing data in digital spaces — translating CARE, OCAP®, and UNDRIP from principle into practice through four tiers of escalating care.

The tiers are centered, not elevated — inward means heightened responsibility of care. Select a ring.

///The Four Tiers

Four tiers, one direction of care

Every piece of Indigenous data — from public press releases to ceremonial knowledge — is classified into one of four tiers. Each tier answers the same four questions: what is stored, how it moves, how it is accessed, and how it may be transformed.

T3

When in doubt, classify as T3.

The harm is asymmetric: over-classification delays access until review — correctable. Under-classification can publish sacred knowledge or disclose a burial site — often irreversible. Only authorized human decision-makers may downgrade a classification. Systems may automate protective upgrades, never downgrades.

///Convergence Systems Architecture

Sovereignty across four domains, or extraction through the gap

Classifying data is not enough. Data governed at rest can still be extracted in motion, in storage, or in processing. TSDF traces the full lifecycle and requires governance authority at every stage — because gaps in any layer create openings for extraction.

Source Collection Transmission Storage Application

Data Sovereignty

“What data is stored, and under whose authority?”

The governance layer: the inherent right to govern collection, ownership, classification, and application of data about Peoples, lands, and relations. This is where CARE, OCAP®, and the four tiers live.

Network Sovereignty

“Whose infrastructure carries our information, under whose terms?”

The transmission layer: fiber, spectrum, towers, mesh. Data legally held by a Tribe that travels through infrastructure that doesn’t recognize Tribal jurisdiction is sovereignty made precarious.

Digital Sovereignty

“Whose services hold our data, and whose jurisdiction governs access?”

The service layer: cloud platforms, storage, spectrum, interfaces. Data residency is where a server sits; data sovereignty is whose law governs it. The two are not the same.

Computational Sovereignty

“Who determines how our data is transformed, and toward what ends?”

The transformation layer: analysis, statistical inference, AI/ML. When Indigenous data enters a model it is transformed in ways that can escape governance entirely — unless authority is asserted here too.

///Sharing as Relation, Not Extraction

Windows, not copies

When a Nation shares data under TSDF, it does not transfer assets. It opens a window that remains in its own house: partners see rendered views, run approved analyses that execute at the source, and receive results — while the underlying data never leaves its origin, and every derivative carries its provenance home.

Extraction modelRelational model
Sharing = copying filesSharing = opening windows
Access = possessionAccess = participation
Value = accumulationValue = relationship depth
Quality = single authoritative sourceQuality = density of triangulation
Knowledge = data transferredKnowledge = understanding co-created

///Standing on Established Ground

Built to operationalize, not replace

TSDF doesn’t invent new principles — it makes existing ones enforceable in software and infrastructure. It is not meant to replace any sovereign framework or cultural ways-of-knowing.

CARE PrinciplesCollective Benefit, Authority, Responsibility, Ethics — operationalized through tiers
OCAP®Ownership, Control, Access, Possession — enforced by classification (FNIGC)
UNDRIPArt. 19 FPIC → T2 · Art. 23 → T0 · Art. 31 heritage → T3 guarantees
IEEE 2890-2025First international standard for provenance of Indigenous Peoples’ data
Local ContextsTK/BC Labels give cultural specificity inside every tier

///TSDF Standard · v0.9 series (pre-release)

The Standard, navigable

Every part of the Standard below, with a plain-language descriptor of what it does and the rules it carries. Dotted terms open a definition — the full glossary is at the bottom. For the authoritative text, read the standard document on GitHub. An official 1.0 will not be released without full authorization by resolution of ATNI.

01

Theoretical Foundations

What this part does

Names the problem and the response. Centuries of extractive research treated Indigenous knowledge as a resource to be mined rather than a relationship to be honored. The Standard responds by defining Indigenous Data Sovereignty — the inherent right of Indigenous Peoples to govern the collection, ownership, and application of their own data — and rejecting the colonial data paradigm.

Key ideas

  • The colonial data paradigm. Dr. Maggie Walter’s “5D Data” critique: colonial statistics emphasize Disparity, Deprivation, Disadvantage, Dysfunction, and Difference — framing Peoples through deficit rather than strength.
  • Data ABOUT vs. data FOR. Data about Indigenous Peoples is rooted in extraction; data for Indigenous Peoples is a tool of self-determination.
  • The four-tier model as the mechanism that moves these principles from aspiration to enforceable policy.
02

Foundational Principles & Distinctions

What this part does

Establishes the political and conceptual ground rules before any classification happens.

Key rules

  • Tribes are sovereigns, not stakeholders. All data exchange happens through government-to-government relations.
  • Residency ≠ sovereignty. Where a server sits is not whose law governs the data. Authority remains with the Nation regardless of storage location.
  • Scope is holistic. Collective & cultural data, individual & administrative data, and biophysical & relational data — the land itself is “the original knowledge organization system.” Data from Indigenous territories carries the same sovereignty claims as the territories themselves.
  • The Convergence Systems Architecture. Four interdependent sovereignty domains (Data, Network, Digital, Computational) and the window architecture: view-only federated access where sharing opens windows rather than copying files, and computation travels to the data.
  • Federated commons. A shared T0 base layer every network member holds locally — no single point of failure — with sovereign overlays that never leave each Nation’s infrastructure.
03

The Four-Tier Data Classification System

What this part does

The core of the Standard: precise definitions for T0–T3, the default rule, and minimum requirements in each sovereignty domain per tier.

TierDefinitionCritical principle
T0 OPENFormally and publicly released by the sovereign Indigenous entity for collective benefitRelease is an affirmative act of governance — never a default
T1 NETWORKShared among trusted Indigenous network members under reciprocal protocolsReciprocity — relationships are mutual and ongoing, not transactional
T2 NEGOTIATEDShared with specific external partners through explicit, documented agreementsFPIC as an ongoing, revocable relationship — not a one-time transaction
T3 SOVEREIGNComplete Indigenous control; never leaves community-controlled systemsArchitectural guarantees — external access technically impossible, not just prohibited

Rules that travel with every tier

  • Default to T3 when classification is uncertain or unassigned (the asymmetric-harm principle).
  • Inward movement (toward T3) may be automated — triggered by agreement expiry, protocol violation, or provenance break. Outward movement requires an authorized human decision, documented with rationale. Automated downgrade is prohibited.
  • T3 honors strategic invisibility — the choice to remain unseen is itself an exercise of sovereignty. T3 also carries internal protocols: the tier restricts external access; internal governance (clan, gender, ceremonial role) determines internal access.
  • Each tier specifies requirements across all four domains — transmission pathways, storage platforms, access mechanisms, and AI/ML authorization — plus IEEE 2890-2025 provenance parameters.
04

Framework Alignment & Interoperability

What this part does

Maps every tier to the established frameworks it operationalizes, so adopting TSDF is evidence of honoring them — not a parallel obligation.

  • CARE alignment: tier-by-principle mapping with implementation requirements (benefit-sharing mandatory in T2 agreements; only Indigenous authorities downgrade; audit logging; consent records linked to all non-T0 data).
  • OCAP® alignment: the window architecture operationalizes Possession — data stays in the source Nation’s custody while authorized parties see rendered views. Where OCAP® exceeds TSDF, OCAP® prevails for First Nations data.
  • UNDRIP: Article 19 (FPIC) → T2 mechanism; Article 23 → T0 release decisions; Article 31 (cultural heritage) → T3 architectural guarantees.
  • IEEE 2890-2025: adopted as the authoritative provenance reference, including the Data Actor Model — every non-human actor (algorithm, database, AI system) must have a responsible human identified.
  • FAIR reconciliation: “As open as possible, as closed as necessary.” FAIR applies only where CARE is satisfied first — and the window architecture lets data be findable, accessible, interoperable, and reusable without transferring possession.
  • Local Contexts TK/BC Labels: labels provide cultural specificity; tiers provide governance enforcement. Both travel with the data.
05

Governance & Partnership Model

What this part does

Specifies what must be governed, never how a Nation must structure its governance — respecting the diversity of traditional and contemporary governance systems.

  • Core functions: classification authority, consent mechanisms across all four domains, exclusive reclassification authority, infrastructure governance, and audit.
  • The partnership spectrum (after David-Chavez 2024): Consultation → Collaboration → Knowledge Co-production → Indigenous-Determined. T2 agreements should name the level and build in progression toward Indigenous determination.
  • Tribal research codes are enforceable law. Tribal IRBs and research codes form the primary legal basis of every T2 agreement and take precedence over external institutional requirements.
  • Federated network governance for T1: membership criteria, reciprocal obligations, dispute resolution, protocol amendment, and commons management.
06

AI/ML Governance

What this part does

Draws hard boundaries for machine learning on Indigenous data — the domain where transformation most easily escapes governance.

TierTrainingInference
T0PermittedPermitted
T1Network approval requiredNetwork scope only
T2Per agreement onlyPer agreement only
T3ProhibitedProhibited
  • Models inherit tiers. A model trained on T1 data carries T1 restrictions on its deployment and outputs. No T3 data may enter any AI/ML system — including “anonymized” derivatives.
  • Attempted operations are logged even when denied (IEEE 2890-2025 custody action denied) for audit.
  • The 5D problem in AI: T2 agreements involving AI/ML should require Indigenous-determined bias criteria, deficit-framing review, output oversight, and the right to require model modification or termination.
  • The limits of computation: “Knowledge is embodied. Computation without relation is not knowledge.” AI can process; it cannot be accountable to kin.
07

External Partner Accountability

What this part does

Differentiated requirements for T2 partners, proportionate to extraction risk: Tribes set the terms; partners must qualify.

PartnerPrimary accountabilityHighlights
Corporate (>$50M revenue, or data/AI business)Contract + IEEE attestationIEEE 7000/7001/7003/2890 certifications, designated compliance officer, consent to audit, binding arbitration recognizing Tribal jurisdiction, liquidated damages
AcademicInstitutional policy + IRBInstitution-level (Provost/VPR) acknowledgment that IDSov supersedes university IP policy; publication review rights; Bayh-Dole handling; Tribal IRB primacy
Federal / governmentalTrust responsibilityEO 13175 consultation documentation, FOIA exemption strategy required in agreements, data return protocol; failures may breach trust responsibility
Small org / NGO (<$5M)Relational, resolution-basedTribal resolution grants trust; revocable by subsequent resolution without formal legal process — relationships, not contracts, are the primary governance mechanism

The jurisdictional argument that resolves the academic IP conflict: Indigenous data originates under Tribal jurisdiction — university IP policies cannot retroactively claim what was never theirs.

08

Adoption & Implementation

What this part does

Step-by-step adoption paths for five audiences: Indigenous Nations (assess holdings, designate governance, default unclassified data to T3, update research codes), research partners (recognize the Standard, adapt IRB protocols, implement provenance), technology providers (tier-based access control, window architecture, Indigenous-controlled encryption keys), federal partners (consultation protocols, FOIA handling), and interTribal network operators (federated governance, T0 commons, graceful degradation when connectivity fails).

See the Use & Adapt tab for these paths in full.

09

Compliance Checklists

What this part does

Auditable checklists for each alignment: IEEE 2890-2025 (data-actor schema, custody chains, benefit-sharing documentation, denied-operation logging), CARE, OCAP®, Local Contexts, and one checklist per sovereignty domain — so “compliance” means something a reviewer can verify, not a vibe.

///Glossary

Terms, in plain language

Drawn from the Standard and its supporting documents.

///In Practice

What TSDF looks like in real work

Three generic walkthroughs drawn from the kinds of projects Tribal climate programs actually run. In each one, notice the same pattern: the work proceeds, partners get what they need, and the sensitive layer never leaves the Nation.

Walkthrough 01

Infrastructure siting

An agency is evaluating corridors for new transmission lines and asks Tribes to “identify cultural resources and sensitive sites within the study area” — the classic extractive ask. Disclosed locations enter agency records, where public-records law and FOIA can reach them.

The TSDF pattern

Site locations, burial grounds, and gathering areas are classified T3 and never transmitted. Instead, the Nation runs the corridor screening inside its own systems (compute-at-source) and returns a constraint surface — “avoid these polygons, weighted by concern” — as a T2 rendered view under a formal agreement with FOIA-exemption strategy specified. The agency gets exactly what siting requires: where not to build, without ever holding coordinates of why.

Data inventory

Public corridor alternativesT0
Regional habitat & hazard layers shared interTriballyT1
Constraint surface delivered to agencyT2
Sacred site & gathering locationsT3
Never leaves the NationSite coordinates, site descriptions, and the reasoning that links a polygon to a place.
Walkthrough 02

Policy scanner

A climate program builds a tool that scans federal and state policy documents and generates per-Tribe advocacy briefs. The inputs look harmless — policy text is public — but the configuration is not: each Tribe’s priorities, vulnerabilities, and positions are strategy.

The TSDF pattern

Source policy corpus is T0 (external public data). Each Tribe’s priority profile is T3 or T2 — held by the Tribe or under agreement, never pooled. Generated briefs inherit the tier of their most restricted input (provenance inheritance): the brief belongs to the Tribe it was generated for, who alone decides whether to release it. And because tier restrictions govern AI/ML, no Tribe’s profile can be used to train models or generate another Tribe’s outputs.

Data inventory

Federal/state policy documentsT0
Shared scanning methodology & templatesT1
Tribe-specific priority profilesT3
Generated advocacy briefsinherit — released only by that Tribe’s decision
Never pooledOne Nation’s priorities are never visible to another’s outputs, and never enter model training.
Walkthrough 03

Rapid-response information sharing

During flood or wildfire response, Tribes need to share conditions fast — but emergency data is exactly where sensitive information leaks: evacuation routes that reveal site locations, vulnerability maps that identify households.

The TSDF pattern

A federated T0 commons carries public alerts and baseline conditions — each Nation holds a local copy that syncs when connected and persists when the network fails. Real-time gauge readings and condition reports flow as T1 among verified network members under standing protocols — no per-incident negotiation when minutes matter. Coordination with FEMA or the state happens through T2 views. Household-level vulnerability data stays T3: responders inside the Nation’s systems see it; the network sees only aggregated need.

Data inventory

Public emergency alerts, weather baselinesT0
Live gauges, road status, condition reportsT1
State/FEMA coordination viewsT2
Household vulnerability, routes near sitesT3
Standing protocols, not standing exposureT1 means the network is already trusted when the water rises — and T3 means speed never becomes disclosure.

///Interactive · From the Tier Decision Guide

Which tier is my data?

QUESTION 1 OF 5

This tool walks the Standard’s published decision tree. It is guidance, not governance — classification authority rests exclusively with each Nation’s designated governance body. When in doubt: T3.

///Red Flags

Always T3 unless governance explicitly says otherwise

  • Sacred site locations or descriptions
  • Ceremonial information of any kind
  • Individual health records
  • Enrollment / citizenship records
  • Financial records
  • Traditional knowledge with any access restrictions
  • Burial sites or funerary objects
  • Clan-specific or gender-restricted knowledge
  • Internal governance deliberations
  • Specific resource harvest locations
  • Data where consent is unclear or undocumented

///Evidence

Why a tiered standard — and why now

TSDF is not a preference; it is a response to a documented record. The evidence comes in three parts: the extractive history of asking Nations to disclose what is sensitive, the maturity of Indigenous Data Sovereignty as an operational discipline, and a policy landscape that requires consultation but under-protects what consultation reveals.

The extraction record

Peer-reviewed analysis of Indigenous community engagement in climate research.

The framework’s own literature base

999 → 62

TSDF rests on two systematic reviews: 499 papers screened to 22 sources on IDSov in climate research, and 500 screened to 40 on Indigenous data-governance frameworks.

Freeland (2025), ATNI Climate Resilience Committee — review 1 · review 2

///Claim 1 · Documented in peer review

Asking Nations to identify what is sensitive has been extractive

Vulnerability assessments, hazard mitigation plans, siting studies, and research projects routinely ask Tribes to disclose culturally sensitive sites, economically vulnerable assets, and TEK — and the record of what happens next is documented.

///Claim 2 · Documented in peer review

IDSov is now a robust discipline with clear metrics and processes

This is no longer aspirational language. Indigenous Data Sovereignty, network sovereignty, and computational sovereignty have published principles, assessment processes, institutional adoption, and — as of IEEE 2890-2025 — an international standard.

///The Policy Landscape

Consultation is required. Protection is partial.

Federal and state law mandates consultation with Tribal Nations — and those same processes are where sensitive information is asked for. The protections that exist are exemption-by-exemption, not structural. TSDF is designed for exactly this gap.

Federal

State example: Washington

///Convergence Systems Architecture

A process exploring convergence

TSDF is one output of a broader theoretical synthesis. In mathematical terms, convergence describes lines that grow closer while never intersecting: different Peoples orient around a shared problem while each retains their identity, methods, and ways of knowing. Applied to sovereignty, the argument is that data, network, digital, and computational sovereignty are indivisible — “sovereignty must extend across all layers or gaps emerge where extraction enters.” Twelve principles guide the architecture:

Sovereignty is IndivisibleData, network, digital, and computational sovereignty are interdependent. Gaps in any layer create openings for extraction.
Data is RelationalData describes Beings, emerges from relationships, and carries obligations. It is never neutral raw material.
Infrastructure is TerritoryPhysical networks, spectrum, and data centers constitute digital territories requiring Indigenous governance.
Relatives, Not ResourcesLand, water, data, and all Beings hold inherent rights and responsibilities. To treat relatives as resources is harm.
Human Accountability for Human ArtifactsTechnology does not act. Humans design, deploy, and benefit. Governance must assign responsibility accordingly.
Self-Determination, Not InclusionNot access to systems designed elsewhere, but authority to design systems that reflect Indigenous values.
Knowledge is EmbodiedWisdom emerges through lived relationship with land, kin, and ceremony. Computation without relation is not knowledge.
Convergence Without HomogenizationDifferent Peoples orient around shared problems while retaining distinct identities, methods, and ways of knowing.
Data for Governance, Not Governance of DataData reflecting Indigenous priorities — not comparative statistics serving state administration.
Living Systems, Not ArchivesDigitization without sovereignty creates museum specimens, not preservation.
The Question is BalanceWho benefits? Who decides? Accountable to whom? Technical questions are governance questions.
No Neutral GroundEvery system either serves Indigenous self-determination or reproduces colonial logics. Architecture encodes values.
The U.S. National Science Foundation names Growing Convergence Research among its ten “Big Ideas,” defining convergence as problem-driven, deep integration across disciplines — the recognized research tradition TSDF’s Convergence Systems Architecture builds on.NSF 10 Big Ideas; solicitation NSF 19-551 — source

Read the full synthesis: Convergence Systems Architecture (Freeland, ATNI).

///Use & Adapt

Openly licensed, deliberately conditioned

Everything in this repository is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). The conditions are not fine print — they are the license doing sovereignty work.

YOU MAY

Share & adapt

Copy and redistribute in any medium or format. Remix, transform, and build upon the material — adopt the tiers whole, or adapt components into your Nation’s or institution’s own governance documents.

PROVIDED THAT

Attribution & ShareAlike

Credit ATNI and the author, link the license, note changes — and release anything you build on it under the same license, so downstream versions stay open on the same terms.

YOU MAY NOT

Commercial use

No commercial use without separate arrangement. A framework written to prevent extraction is not raw material for a product.

§

Indigenous Governance Notice

While this document is openly licensed, implementations that govern Indigenous community data must be developed in partnership with those communities and in accordance with applicable Indigenous data governance and provenance principles (CARE, OCAP®, IEEE 2890-2025, community-specific protocols). The license grants permission to use the text; it does not grant authority over any community’s data.

Adoption paths

01

Indigenous Nations

Review data holdings against the tier definitions · default everything unclassified to T3 · designate a governance body for classification · update your Tribal research code to reference the tiers · determine partner requirements (Standard §7) · assess infrastructure for window-architecture sharing.

02

Research partners

Recognize the Standard as authoritative for partner Nations · incorporate tiers into IRB protocols and data-management plans · obtain institution-level acknowledgment that IDSov supersedes university IP policy · implement IEEE 2890-2025 provenance · return or destroy data per agreement.

03

Technology providers

Implement tier-based access control in architecture · support rendered views and compute-at-source · audit logging per IEEE 2890-2025 · Local Contexts Labels in metadata schemas · Indigenous-controlled encryption keys for T2/T3 · explicit approval before any AI/ML use.

04

Federal & state partners

Honor government-to-government consultation protocols · address FOIA/public-records exposure in every T2 agreement · document sovereignty-domain compliance · data return protocols with certification of destruction.

05

InterTribal network operators

Establish federated governance (membership, reciprocity, dispute resolution) · implement the T0 commons with resilience · deploy window architecture for T1 sharing · network-wide provenance · graceful degradation when connectivity fails.

Cite the framework

Pre-release, v0.9 series. Comment and proposed amendments are welcomed at climate@atniTribes.org. An official 1.0 release will not occur without full authorization by resolution of the Affiliated Tribes of Northwest Indians.

@misc{freeland2025tsdf, author = {Freeland, Patrick A.}, title = {Tiered Sovereignty Data Framework: Indigenous Data Sovereignty Standard}, year = {2025}, publisher = {Affiliated Tribes of Northwest Indians}, url = {https://github.com/atniclimate/ TieredSovereignDataFramework}, license = {CC-BY-NC-SA-4.0} }

Related work

This repository is Part 1: the governance standard. A companion technical specification — the Federated Indigenous Data Protocol — provides implementation details for federated data infrastructure, licensed separately under Apache 2.0.

Related frameworks: CARE Principles · OCAP® (FNIGC) · Local Contexts · UNDRIP · IEEE 2890-2025