Authority before analytics: Who owns the ocean’s data — and why it matters for ocean governance

Ocean governance is becoming increasingly data-driven. From satellite tracking and AI-enabled monitoring to MRV systems embedded in blue finance and conservation projects, data now sits at the center of how oceans are governed, financed, and valued.

This shift is often framed as progress: better data means better decisions, greater transparency, and more efficient investment. But beneath that optimism lies a more consequential question — one that ocean policy and finance communities are only beginning to confront:

Who owns the ocean’s data — and who ultimately benefits from it?

As data becomes a form of currency in the blue economy, it is quietly reshaping power, authority, and legitimacy. And unless governance catches up, data-driven ocean solutions risk reproducing the same extractive dynamics they claim to solve.

Data is not neutral

Ocean data is often treated as objective and apolitical — a technical input into policy, finance, and conservation. In practice, however, data systems reflect choices about what is measured, how it is measured, and whose knowledge counts.

These choices matter. They determine which activities are deemed sustainable, which projects receive financing, and which forms of stewardship are recognized as legitimate.

As MRV systems become embedded in blue bonds, blended-finance vehicles, plastic credits, and biodiversity finance, data increasingly acts as a gatekeeper: translating complex social and ecological relationships into metrics that can be priced, traded, and scaled.

This theme echoes ongoing discussions in AI-driven oceantech, where technology is increasingly framed as the most investable path for ocean financing — even as the governance of the data underpinning those systems remains underexamined.

What is lost in this translation is often authority — particularly the authority of Indigenous and coastal communities whose stewardship systems predate modern data infrastructures by generations.

The political economy of ocean data

The political economy of ocean data is not just about information. It is about control.

Most large-scale ocean data systems are designed, owned, and governed by external actors: governments, multilateral institutions, technology firms, research consortia, and project developers. Indigenous and local communities are frequently positioned as data sources rather than data authorities.

This mirrors a familiar pattern in extractive economies: knowledge is extracted from place, standardized elsewhere, and monetized in ways that deliver limited benefit — and often little control — to the communities most directly connected to the ecosystem.

In a data-driven blue economy, this extractive logic does not require physical removal. It operates through dashboards, indicators, and reporting requirements that define success from afar. This dynamic has also been noted in conversations around oceantech investment more broadly, where the allure of data and AI can overshadow deeper questions of governance and local authority.

Indigenous data sovereignty: More than access

Indigenous data sovereignty challenges this model at its foundation.

At its core, Indigenous data sovereignty asserts that Indigenous peoples have the right to govern the collection, ownership, interpretation, and use of data about their lands, waters, and communities. It reframes data not as a neutral commodity, but as a relational asset embedded in responsibility, consent, and place-based authority.

In ocean contexts, this matters deeply.

Marine ecosystems are dynamic, seasonal, and intertwined with cultural practices, food systems, and governance traditions. Indigenous Knowledge Systems are not anecdotal complements to scientific data — they are long-standing monitoring systems, refined through observation, intergenerational transmission, and accountability to place.

Treating these systems merely as “inputs” into externally designed data platforms strips them of their governance function and undervalues the deep stewardship frameworks embedded within them — a theme I explore in my PhD research on Indigenous governance and environmental history in Bristol Bay, Alaska.

When data undermines legitimacy

As ocean finance scales, legitimacy has become as important as capital. Investors, policymakers, and communities increasingly recognize that projects fail not only because of technical flaws, but because they lack social and governance legitimacy.

Ironically, data systems intended to improve credibility can undermine it.

When MRV frameworks impose externally defined indicators, privilege short-term outputs over long-term stewardship, or extract data without shared governance, they risk eroding trust and weakening the very outcomes they seek to verify.

This risk is particularly acute in Indigenous contexts, where data extraction without consent echoes longer histories of dispossession. In such cases, “better data” can become a liability rather than an asset. 

This is something I’ve encountered both in field research and in practice while working with The Ocean Cleanup, where we have seen firsthand how data governance choices influence community partnerships and project legitimacy.

Toward governance-aligned data systems

The challenge, then, is not whether ocean governance should be data-driven — but how.

A governance-aligned approach to ocean data would begin with a different premise: data systems should reinforce legitimate authority, not bypass it.

Several principles follow:

• Authority before analytics: Data governance must be negotiated with Indigenous authorities as rights-holders, not introduced after systems are designed.

• Stewardship-aware metrics: Indicators should reflect ecological relationships, seasonal variability, and long-term resilience — not just short-term project outputs.

• Shared control and benefit: Data generated from Indigenous waters should deliver tangible governance, financial, or decision-making benefits to those communities.

• Consent as an ongoing process: Free, prior, and informed consent must extend beyond project approval to cover data use, interpretation, and secondary applications.

• Plural knowledge systems: Scientific data and Indigenous Knowledge Systems must coexist without one being reduced to validation for the other.

These principles are not abstract ideals. They are increasingly practical necessities as ocean finance, conservation, and technology converge.

Why this matters for blue finance

For investors and policymakers, this is not only a question of equity. It is a question of risk.

Governance misalignment remains one of the most underpriced risks in the blue economy. Projects may meet reporting requirements while failing to deliver durable outcomes if the data systems underpinning them lack legitimacy.

Conversely, finance mechanisms that embed Indigenous authority into data governance are more likely to maintain social license, adapt over time, and align capital with real stewardship capacity.

As blue finance matures, data governance will become a key differentiator between extractive scaling and resilient investment.

The next fault line in ocean governance

The future of ocean governance will not be decided by technology, capital, or policy ambition alone. It will be shaped by quieter choices about who controls information, whose knowledge is trusted, and how value is defined.

Ocean data sits at that intersection.

If data systems continue to centralize authority while decentralizing responsibility, they will reproduce the very governance failures that have undermined past interventions.

If, instead, data governance evolves to respect Indigenous authority and stewardship, it could become one of the most powerful tools for legitimacy in the blue economy.

The ocean’s future may well depend on it.

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