The United Nations Resource Management System (UNRMS) Life-Cycle Accountability Framework clarifies who is accountable for decisions, evidence, handovers and stewardship opportunities across critical-mineral value chains, enabling earlier action on risk, value addition, circularity and comprehensive recovery.
The dilemma
Critical-mineral governance spans the life cycle, while authority is usually organized by institution, sector, project or jurisdiction. Extraction, processing, manufacturing, use, recovery and recycling may each be governed and regulated effectively within their own boundaries. The connections between them are harder to see. Materials, residues, data, risks, decisions and benefits pass from one actor to another, often without a shared view of who is expected to do what next.
This is commonly framed as a reporting problem: information is missing, inconsistent or insufficiently disclosed. Reporting is only part of the issue. Even where information exists, there may be no clearly identified actor responsible for verifying, interpreting, responding to or implementing agreed actions. A circularity target can be published without anyone owning the collection systems or the quality of secondary materials. A value-addition ambition can be announced without responsibility for testing feasibility, coordinating skills, securing infrastructure, mobilizing finance or building market access. Comprehensive recovery can be technically possible while responsibility for by-products, tailings or secondary resources remains divided.
Accountability therefore has two dimensions. It concerns omissions: who failed to act, where a duty is absent, or where a handover failed. It also concerns actions and stewardship commitments: who is answerable for identifying and pursuing feasible opportunities that increase public value, resource recovery, circularity, innovation, skills and economic viability. The governance, and in some cases the regulatory,challenge is to make both dimensions visible without turning the exercise into fault attribution, a new compliance layer or an external judgement on sovereign resource choices.
The regulatory gap
Existing instruments can assess environmental impacts, structure project information, trace materials, support due diligence, disclose product information or measure circularity. These functions are necessary. They rarely map the accountability architecture around their use. Who defines the boundary, who generates and holds the evidence, who verifies it, who decides, who acts on a finding, who develops an opportunity, who bears residual responsibility and who can initiate review or correction?
The resulting gap takes several forms. Mandates may overlap without a coordination mechanism. Similar evidence may be requested in incompatible formats. A public body may be responsible without the staff, tools or finance to discharge that responsibility. An actor with the capacity to reduce a risk may have little incentive to do so. Responsibility can become fragmented at transitions between institutions, companies, life-cycle stages or jurisdictions. Positive opportunities can fail in the same way: an aspiration exists, yet no accountable pathway links it to the capabilities required for delivery.
No additional metric resolves this on its own. The missing layer is a common way to represent actors, mandates, duties, evidence, affected parties, opportunities, handovers and review routes within a single system. That is the gap the Life-Cycle Accountability Framework is designed to fill.
The approach
The UNRMS Life-Cycle Accountability Framework is a non-binding, principles-based framework for mapping and learning. It begins with a direct question. Who is responsible for what, to whom, with what evidence, and what happens when responsibility is clear, shared, fragmented, contested, or absent?
The framework emerged from a regulatory design problem identified by the UNECE’s UNRMS Sub-group. Existing instruments can assess impacts, trace materials, or support due diligence, yet responsibility for the handover between life-cycle stages often remains unclear. In an illustrative processing handover, one authority sets the policy expectation, one actor generates evidence, another verifies it and a further actor is expected to respond. The framework’s regulatory function is to make that chain visible, identify who is responsible at each point and specify the review or correction route.
For this purpose, accountability means the clear assignment, disclosure, review and learning regarding responsibility for decisions, actions, omissions, data, risks, opportunities and handover points. It is broader than legal liability and narrower than a general sustainability claim. The framework does not determine fault or create legal obligations. It makes the operating structure of accountability visible, enabling competent actors to clarify mandates, improve evidence flows, strengthen capacity, coordinate action and develop opportunities within national law and policy.
The primary users are competent public authorities and regulators. Geological surveys and technical agencies use the framework to clarify evidence duties; industry, processors and recyclers use it to clarify handovers and improvement responsibilities; regional and UN platforms use it to structure voluntary policy dialogue; and communities, workers and rights holders use it to identify information, feedback and remedy routes within national procedures.
The framework applies the 12 UNRMS principles, supported by the 55 requirements. They serve as operational prompts rather than a scorecard. The principles embed positive stewardship in the map. They ask, for example, who is responsible for comprehensive recovery? Who assesses and advances the feasibility of value addition? Who owns the design, reuse, collection and recycling functions? Who develops and adopts responsible technologies? Who maintains the competencies needed for long-term resource stewardship? Accountability is thus not confined to preventing harm. It also entails answerability for creating feasible value.
How the framework works
Seven connected pillars turn that idea into a practical method:
1. Life-cycle stewardship map: locates actors, duties, affected parties and handovers from extraction through recovery and recycling.
2. UNRMS principles lens: tests how responsibilities align with all 12 principles, including value addition, circularity, comprehensive recovery, innovation and transparency.
3. Actor, obligation and handover register: records mandates and identifies responsibilities as clear, shared, fragmented, contested or absent.
4. Evidence and data responsibility: clarifies who generates, holds, verifies, finances, discloses and uses information, subject to national data rules and agreed confidentiality safeguards.
5. Lead indicators of fragility: identifies weak signals before an omission, lost opportunity or failed handover becomes a larger problem.
6. Model-centric assessment: makes the assumed value-chain model, its boundaries and omissions explicit, using metrics as evidence rather than as the organising logic.
7. Policy sequencing and pilots: distinguishes issues that require mandate clarification, coordination, capacity support, interoperability, investment, policy dialogue or a bounded test.
The framework defines 12 indicative lead indicators: mandate gap, duplicate mandate, contested responsibility, unverified data dependency, data model mismatch, evidence gap, weak corrective route, incentive mismatch, capacity constraint, circularity handover risk, tailings and residue uncertainty, and value-addition disconnect. Several reveal positive responsibilities as clearly as they do deficiencies. A value-addition disconnect, for example, signals that expectations are not linked to accountable pathways for skills, infrastructure, finance or market access.
Its practical products include an accountability map, an actor-duty-evidence register, a handover register, a lead-indicator set, an evidence and data map, and a concise policy-dialogue note. These are working instruments for clarification and learning, not for ratings or certificates.
Where it can be applied
The method can be applied at project, portfolio, product-system, corridor, national or regional scales. It can cover the entire mineral value chain or focus on a single consequential handover. The same architecture can support several regulatory tasks:
• value addition and diversification: assigning responsibility for feasibility, skills, infrastructure, energy, finance, market access and benefit pathways;
• circularity: connecting design, collection, reuse, recycling, secondary-material quality and safe end-of-life functions;
• comprehensive recovery: clarifying responsibility for primary resources, co-products, by-products, tailings, residues and secondary value;
• evidence and traceability: separating data generation, custody, quality assurance, verification, use and disclosure;
• innovation and competence: identifying who can test, authorize, finance, adopt and learn from new technologies and who maintains the required institutional capabilities; and
• high-risk or high-opportunity handovers: examining one transition where authority, evidence or value is most likely to become disconnected.
The application remains voluntary and subject to the competent government authority, national legislation, data ownership and agreed safeguards. The framework is not a life-cycle assessment, a due diligence system, a feasibility study, an audit, a certification scheme or an investment filter. Its function is connective: it makes responsibility for using those instruments visible.
When benefits become available
Some benefits emerge during the first mapping cycle. Participants gain a shared vocabulary, expose competing assumptions about the system boundary, distinguish clear responsibility from assumed responsibility, and identify where evidence or opportunity ownership is duplicated or missing. These are immediate clarifying benefits; they do not require proof of downstream impact.
A second set of actions depends on what happens after the map is reviewed. Mandates can be clarified, evidence requests aligned, data reuse agreed, capacity support targeted, and an opportunity pathway assigned to actors able to advance it. These are near-term governance benefits, contingent on competent authorities and participating organizations acting on the findings.
Longer-term benefits remain hypotheses until field application provides evidence. Better circularity, more comprehensive recovery, stronger value addition, improved economic viability, reduced disruption and greater trust would require investment, implementation and repeated learning beyond the mapping exercise. The framework can make the route to those outcomes more governable; it cannot produce them on its own.
Results achieved
The UNRMS Life-Cycle Accountability Framework is a coherent architecture. Its achieved results are design and development outcomes:
• A precise working definition. Accountability now covers decisions, actions, omissions, data, risks, opportunities and handovers. It includes answerability for performance and evidence, duties of care, corrective learning, capacity support and opportunity development.
• A non-punitive stewardship scope. The framework expressly extends beyond fault prevention to value addition, diversification, comprehensive recovery, circularity, responsible innovation, competence-building and long-term public-interest outcomes.
• A common classification. Five accountability states provide a consistent vocabulary for responsibilities that are clear, shared, fragmented, contested or absent.
• An operational method. Seven pillars link the life-cycle model, UNRMS principles, actors and mandates, evidence duties, affected parties, lead indicators and policy learning.
• An early-warning system. Twelve lead indicators identify emerging weaknesses and disconnected opportunities before they appear as harm, mistrust, stranded value or supply disruption.
• A complementarity model. The framework explains how it can sit around ISO methods, UNFC information and other UNRMS tools without duplicating their technical functions. It asks who owns the boundaries, evidence, decisions, opportunities and follow-up that those instruments reveal.
• A practical output package. The concept specifies the maps, registers, indicator menu, data view and policy note needed to move from principles to a usable prototype.
• A regulatory-output and validation protocol. The framework specifies a regulatory output chain: each material gap is linked to a responsible authority or actor, each evidence duty to a data owner and verification route, and each policy issue to a possible legal, administrative, coordination or capacity response. Validation further requires duplicate evidence requests to be identified for consolidation, review dates and corrective pathways assigned, and framework templates revised through structured user feedback.
• Safeguards against misuse. The design protects sovereign authority, national data regimes, confidentiality and technological neutrality. It prohibits use as a ranking, certification, punitive comparison, investment filter, financing condition, insurance restriction, procurement filter, technology condition or market-access barrier.
These results thus establish a testable governance tool for competent public authorities and regulators, to be applied with relevant value-chain actors and affected stakeholders in clarifying mandates, evidence duties and follow-up actions.
The transferable lesson
Accountability is enabling infrastructure when it combines answerability with agency. A system needs to know who can respond when something goes wrong. It also needs to know who must act when evidence reveals a viable opportunity. Asking only “who failed?” produces a narrow compliance lens. Asking “who is responsible for making this opportunity feasible, and what evidence and capabilities do they need?” turns accountability into a tool for stewardship.
The framework also shifts attention from disclosure volume to the quality of the connection. Information has limited regulatory value when no actor is responsible for verifying, using or responding to it. Likewise, an ambition has limited developmental value when responsibility for implementation is distributed without coordination. Mapping the handover between evidence and action can expose both conditions early.
Its core design principle is restraint. The framework does not prescribe a single institutional model, replace existing standards, or reduce complex judgements to a composite score. It creates a shared representation of the system and then leaves decisions with competent authorities and responsible actors. This preserves scope for national priorities while supporting clearer coordination.
How to test the framework
A cross-border setting would be a useful stress test. The smallest useful test would follow one mineral or a bounded value-chain segment through two participating jurisdictions, including at least one country, and one partner regulatory jurisdiction, using existing evidence and a single agreed review cycle. The exercise should examine two contrasting handovers: one where an omission or risk may lack ownership, and another where a feasible value-addition, circularity or comprehensive-recovery opportunity requires an accountable pathway.
The test would succeed at the framework level if participants can build and validate the accountability model; distinguish between clear, shared, fragmented, contested and absent responsibilities; identify at least one material gap and one material opportunity; assign each an evidence, action and review route; and improve the templates through practical use.
Failure signals would include drift into audit or ranking, absence of competent authorities or data owners, no route from mapping to a decision, breaches of confidentiality safeguards, or an administrative burden greater than the learning produced. These signals create a disciplined choice: refine, extend, scale or stop.
