{"query_echo":{"q":"","filters":{"analysis_type":["data quality assessment"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data quality assessment' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+quality+assessment","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"ember-000460","url":"https://climateinsightsdirectory.org/document/ember-000460","title":"Direct, continuous measurement is needed to increase confidence in reported emissions","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2026-04-29","source_url":"https://ember-energy.org/chapter/direct-continuous-measurement-is-needed-to-increase-confidence-in-reported-emissions/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report highlights significant gaps and uncertainties in global coal mine methane (CMM) emissions reporting, noting that 89% of emissions were left unreported in 2023. It criticizes the reliance on generic emission factors (Tiers 1 and 2) used for 87% of global coal production and advocates for the transition to direct, facility-level measurements (Tier 3) to increase data confidence and support mitigation policies.","ai_generated":true,"unit":"ember-000460#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global reporting of coal mine methane (CMM) emissions is severely limited; in 2023, only 23 of the 73 coal-mining countries submitted reports to the UNFCCC, resulting in approximately 89% of emissions remaining unreported.","ai_generated":true,"unit":"ember-000460#insight-1","date_modified":"2026-10-23"},{"text":"Major coal producers frequently fail to report CMM data; in 2023, China, India, Indonesia, the United States, South Africa, and Kazakhstan did not report any greenhouse gas emissions.","ai_generated":true,"unit":"ember-000460#insight-2","date_modified":"2026-10-23"},{"text":"The vast majority of global coal production relies on imprecise estimation methods; 87% of production is estimated using generic global or national emission factors (IPCC Tier 1 or 2), while only 13% utilizes measurement-based Tier 3 reporting.","ai_generated":true,"unit":"ember-000460#insight-3","date_modified":"2026-10-23"},{"text":"Ember's confidence assessment shows that reported CMM emissions for 78% of countries are rated as medium-low or low confidence, with only 4% of countries receiving a high confidence rating.","ai_generated":true,"unit":"ember-000460#insight-4","date_modified":"2026-10-23"},{"text":"The Enhanced Transparency Framework (ETF) now requires all countries to submit a Biennial Transparency Report (BTR) every two years, with the next deadline in 2026, though the system remains non-punitive.","ai_generated":true,"unit":"ember-000460#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","methane","United Nations Framework Convention on Climate Change","greenhouse gas monitoring"],"geography_discussed":["People's Republic of China","India","Indonesia","United States","South Africa","Kazakhstan","Bangladesh","Mozambique","Pakistan","Poland","Australia","Russia"],"frame_perspective":[],"analysis_type":["data quality assessment","policy analysis"]},{"id":"ember-000206","url":"https://climateinsightsdirectory.org/document/ember-000206","title":"Asian Electricity Data Transparency","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2020-11-26","source_url":"https://ember-energy.org/app/uploads/2020/11/Asian-Data-Transparency-Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates electricity data transparency in Asia and Oceania, scoring countries based on criteria such as time granularity, fuel-type breakdowns, and ease of access. It finds significant disparities in data quality, with some countries like Australia and India providing high-granularity data, while others like Indonesia, Vietnam, and Singapore suffer from poor timeliness or limited disaggregation.","ai_generated":true,"unit":"ember-000206#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The report establishes a scoring system for data transparency based on eight criteria: real-time granularity, fuel-type generation breakdowns, sub-national data, unit-level data, capacity data, additional metrics (e.g., load factors), ease of access (free, English, downloadable), and the existence of a unified national platform.","ai_generated":true,"unit":"ember-000206#insight-1","date_modified":"2026-10-23"},{"text":"Australia and India are among the highest-scoring countries. Australia provides hourly real-time data via OpenNEM, though it lacks capacity or investment data. India provides daily data with breakdowns by utility, region, sector, and unit, though it lacks data on efficiency, investment, or load factors.","ai_generated":true,"unit":"ember-000206#insight-2","date_modified":"2026-10-23"},{"text":"China's data is rated as 'Insufficient' because it lacks real-time data, has a one-month lag for monthly data, and suffers from inconsistencies where monthly and annual data for thermal generation do not reconcile well.","ai_generated":true,"unit":"ember-000206#insight-3","date_modified":"2026-10-23"},{"text":"Several countries are rated as having 'Poor quality or no timely data available', including Indonesia, Vietnam, Malaysia, Singapore, Hong Kong, and Mongolia. For example, Indonesia's highest granularity is annual data with an eight-month lag, and Vietnam's data is described as 'hugely inconsistent'.","ai_generated":true,"unit":"ember-000206#insight-4","date_modified":"2026-10-23"},{"text":"Japan's data transparency is rated as 'Insufficient' due to poor dataset consistency between sources like Enecho and renewables-ei, and a lack of fuel-specific fossil data in the most timely reports.","ai_generated":true,"unit":"ember-000206#insight-5","date_modified":"2026-10-23"},{"text":"There is no single timely, region-wide electricity data source for Asia, forcing reliance on national sources or global datasets from the IEA, EIA, Global Energy Monitor, and IRENA, which often have lags or paywalls.","ai_generated":true,"unit":"ember-000206#insight-6","date_modified":"2026-10-23"}],"climate_tags":["electricity generation","coal power","renewable energy","wind power"],"geography_discussed":["People's Republic of China","India","Japan","South Korea","Indonesia","Australia","Taiwan","Vietnam","Thailand","Malaysia","Philippines","Bangladesh","New Zealand","Singapore","Hong Kong","Mongolia"],"frame_perspective":[],"analysis_type":["data quality assessment","comparative analysis"]}]}