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The report highlights a systemic lack of transparent and consistent data on oil accidents across the 35 nations of the Americas. While Brazil, Canada, and the United States provide the most regular open data, significant gaps remain regarding the severity of impacts, fatalities, and responsible parties. The document emphasizes that this data scarcity obscures the true scale of environmental and social risks, particularly in sensitive regions like the Amazon, where aging infrastructure and operational failures continue to cause significant spills.

The report argues that methane emissions from coking coal mining are a significant but under-accounted 'blind spot' in the steel industry's climate impact. It highlights that coking coal is more methane-intensive than thermal coal and that Australian mines, which supply over half of the global seaborne coking coal market, consistently underreport these emissions. Using IEA data and GWP20 metrics, the report estimates that mining emissions can add 10% to 17% to the emission intensity of blast furnace steel, with some 'gassiest' mines potentially doubling the climate footprint. It concludes that nearly half of these emissions could be abated using existing technologies at a cost lower than the market price of Australian Carbon Credit Units.

The report argues that effective implementation of the SDGs in Canada requires a multi-tiered measurement approach that moves beyond national averages to identify and monitor vulnerable groups. It identifies key marginalized populations—including Indigenous Peoples, recent immigrants, and people with disabilities—and highlights the systemic data gaps that hinder targeted interventions. The authors advocate for the use of complementary community-driven data sources and investments in data interoperability, specifically through mission-oriented data ecosystems, to ensure that those 'furthest behind' are accurately captured and supported.

The report outlines the critical role of geospatial least-cost modelling in achieving universal energy access, while highlighting significant data gaps in demand-side considerations, grid infrastructure, and clean cooking patterns. It argues for a shift from static to dynamic data inputs and suggests that integrating electrification and clean cooking planning can double the viability of electric cookstoves. The document provides frameworks for key data inputs and proposes cost-effective methods for filling gaps, such as AI-driven remote sensing and cell phone-based surveys.

The document highlights significant gaps in development finance, noting that general environment protection receives only 2% of total disbursements. It examines how the European refugee crisis impacted donor budgets, the difficulty of tracking finance for specific agendas like sustainable oceans, and the lack of data disaggregation by some donors. Additionally, it identifies a notably lower disbursement ratio for climate finance compared to general development aid, suggesting systemic implementation challenges.

The SDG16DI 2020 Global Report argues that official data from National Statistical Offices (NSOs) are often insufficient, unreliable, or unavailable for monitoring SDG16 targets, particularly regarding conflict-related deaths, corruption, and press freedom. It highlights the critical role of 'non-official data'—produced by NGOs and academic institutions—in filling these gaps. The report provides case studies on sex-disaggregated data for violent deaths, trade-related illicit financial flows in developing nations, corruption and vote-buying in Latin America and the Caribbean, and the use of expert-based indices to measure representative decision-making. It also notes that the COVID-19 pandemic has exacerbated governance challenges while simultaneously reducing the capacity of NSOs to collect data.

The briefing outlines a proposed dashboard to track the private capital response to climate change, structured around three factors: sentiment, integration, and flows. It identifies specific indicators for financial actors (such as banks and asset managers) and sectors (such as energy and transportation), while highlighting significant data gaps in measuring financial flows and the integration of climate considerations into decision-making. The framework aims to provide market participants with an overview of systemic progress and a means to gauge if capital reallocation is sufficient to meet climate goals.

The report identifies a significant gap in tracking private finance for climate adaptation, noting that less than 10% of publicly-mobilized private climate finance is directed toward adaptation. It proposes four methodological approaches—ranging from 'Direct' to 'Indirect Expanded'—to better capture how public interventions, including those providing enabling outputs like capacity building, trigger private investment. Through case studies in Northern Uganda and the African Risk Capacity, the authors demonstrate that relying solely on direct co-financing data leads to underestimations of mobilization. The report concludes that while indirect mobilization is harder to measure and carries higher risks of double counting, tracking it is essential to incentivize the upstream public support necessary for climate resilience.

The report outlines the foundational research for a decision support system (DSS) to facilitate ecological infrastructure investments in the Red River Basin. It identifies critical data gaps, particularly in high-resolution elevation data for Canada, and evaluates existing hydrological and ecosystem models. The project emphasizes the need for harmonized transboundary data and a common vision for basin management to address chronic flooding and the eutrophication of Lake Winnipeg.

The document provides a comprehensive framework of indicators designed to measure gender equality within the energy sector. It categorizes these indicators into three work streams: general gender equality, social inclusion/equity policies, and energy-specific impacts. The paper maps available data from sources such as the World Bank, ILO, and OECD, while highlighting significant data gaps in gender-disaggregated energy access and the specific time-use burdens of women in fuel collection and cooking.

The report identifies significant gaps in electricity access and data consistency across Nigeria's healthcare system. While the Federal Ministry of Health estimates 40,017 facilities, the majority are primary healthcare centres (PHCs), many of which are non-functional or lack reliable power. The document highlights a fragmented data landscape and recommends the creation of a centralized, standardized dataset to coordinate electrification efforts.