{"query_echo":{"q":"","filters":{"analysis_type":["data inventory"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data inventory' 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+inventory","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":"prio-001263","url":"https://climateinsightsdirectory.org/document/prio-001263","title":"Survey instruments and survey data on migration aspirations","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"report","language":"en","date_published":"2021-02-26","source_url":"https://cdn.cloud.prio.org/files/54bef147-b8b5-4e11-83b1-3d9e36e24943/Carling-and-Mjelva-2021-Survey-instruments-and-survey-data-on-migration-aspirations.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report presents a comprehensive inventory of 212 surveys and 276 core questions focused on migration aspirations, defined as the mental constructs including desires, intentions, plans, and expectations for migration. It analyzes these instruments through a framework that distinguishes between the nature and timeframe of the mindset and the action. The findings reveal a geographic concentration of research in Europe and Central Asia, a high prevalence of surveys targeting students and health workers, and a general lack of data availability, with only 25% of datasets reported as available. The authors conclude with 21 recommendations to improve the quality, translatability, and reporting of migration aspiration surveys.","ai_generated":true,"unit":"prio-001263#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors compiled a systematic inventory of 212 surveys and a question bank containing 276 core questions specifically addressing migration aspirations.","ai_generated":true,"unit":"prio-001263#insight-1","date_modified":"2026-10-23"},{"text":"Geographic coverage of the surveyed data is heavily skewed toward Europe and Central Asia, which account for 50% of all surveys.","ai_generated":true,"unit":"prio-001263#insight-2","date_modified":"2026-10-23"},{"text":"The most common survey populations are the general population (54%), followed by students (19%), migrant populations (8%), and health workers (6%).","ai_generated":true,"unit":"prio-001263#insight-3","date_modified":"2026-10-23"},{"text":"Data availability for these surveys is low, with only 25% of the datasets reported as available via download or request.","ai_generated":true,"unit":"prio-001263#insight-4","date_modified":"2026-10-23"},{"text":"The authors developed an analytical framework to deconstruct survey questions into components: the nature and timeframe of the mindset, and the nature and timeframe of the action.","ai_generated":true,"unit":"prio-001263#insight-5","date_modified":"2026-10-23"},{"text":"The nature of the mindset in migration surveys is categorized into eight types: consideration, preference, willingness, necessity, planning, intention, expectation, and likelihood.","ai_generated":true,"unit":"prio-001263#insight-6","date_modified":"2026-10-23"},{"text":"A significant majority of survey questions (83%) focus on the act of leaving, while only 8% focus on staying and 6% are balanced between the two.","ai_generated":true,"unit":"prio-001263#insight-7","date_modified":"2026-10-23"},{"text":"Approximately 16% of the core questions include explicit conditionality, such as hypothetical scenarios involving the provision of legal documents.","ai_generated":true,"unit":"prio-001263#insight-8","date_modified":"2026-10-23"},{"text":"The report recommends using multiple complementary questions to measure aspirations, specifically prioritizing consideration, preference, and expectation.","ai_generated":true,"unit":"prio-001263#insight-9","date_modified":"2026-10-23"},{"text":"The authors advise caution regarding questions about 'intention' or 'planning' because they often blur the distinction between the desirability and the feasibility of migration.","ai_generated":true,"unit":"prio-001263#insight-10","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Europe and Central Asia","United States","Mexico","People's Republic of China"],"frame_perspective":[],"analysis_type":["systematic review","methodological framework","data inventory"]},{"id":"client-000932","url":"https://climateinsightsdirectory.org/document/client-000932","title":"Taking stock 2020 – are TACs set to achieve MSY?","publisher":{"name":"ClientEarth","organization":"clientearth"},"document_type":"report","language":"en","date_published":"2020-10","source_url":"https://www.clientearth.org/media/1tzngh3w/taking-stock-2020-are-tacs-set-to-achieve-msy-annex-iii-ce-en.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document is an annex listing fish species and TAC codes excluded from a core analysis due to data gaps or mismatches. Reasons for exclusion include unavailable advice, area mismatches, and unclear data.","ai_generated":true,"unit":"client-000932#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A significant number of TACs were excluded from the core analysis because the necessary advice was not yet available, specifically affecting various Sandeel (Ammodytes spp.) and Anchovy (Engraulis encrasicolus) codes.","ai_generated":true,"unit":"client-000932#insight-1","date_modified":"2026-10-23"},{"text":"Many species were excluded due to an 'area mismatch' between the TAC regulations and the ICES advice, including Blue ling, Common sole, Hake, and Horse mackerel.","ai_generated":true,"unit":"client-000932#insight-2","date_modified":"2026-10-23"},{"text":"Numerous entries were excluded because the data was 'different/unclear', affecting a wide range of species such as Cod, Herring, Mackerel, and Saithe.","ai_generated":true,"unit":"client-000932#insight-3","date_modified":"2026-10-23"},{"text":"Certain species were excluded because the TAC was removed, specifically the Common dab, European flounder (for 2017 and before), and Spurdog/dogfish.","ai_generated":true,"unit":"client-000932#insight-4","date_modified":"2026-10-23"}],"climate_tags":["biodiversity"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["data inventory"]}]}