Intra-household and farm production decision making survey in rural Tanzania and Uganda
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This intra-household survey was conducted by CCAFS in Northern Uganda and Southern Tanzania in 2014 and 2015 respectively. The main aim of the project is to increase farm production and farming system resilience of small scale farmers in Uganda and Tanzania while mitigating climate change through wide-scale adoption of climate-smart agriculture (CSA) technologies. Household identification variables including GPS coordinates, names of respondents and household members, phone numbers, and village names have been removed as part of anonymization efforts. This information is, however, available upon request' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Africa","Decision and Policy Analysis - DAPA","Farm production","Sex-disaggregated data"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This intra-household survey was conducted by CCAFS in Northern Uganda and Southern Tanzania in 2014 and 2015 respectively. The main aim of the project is to increase farm production and farming system resilience of small scale farmers in Uganda and Tanzania while mitigating climate change through wide-scale adoption of climate-smart agriculture (CSA) technologies. Household identification variables including GPS coordinates, names of respondents and household members, phone numbers, and village names have been removed as part of anonymization efforts. This information is, however, available upon request' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This intra-household survey was conducted by CCAFS in Northern Uganda and Southern Tanzania in 2014 and 2015 respectively. The main aim of the project is to increase farm production and farming system resilience of small scale farmers in Uganda and Tanzania while mitigating climate change through wide-scale adoption of climate-smart agriculture (CSA) technologies. Household identification variables including GPS coordinates, names of respondents and household members, phone numbers, and village names have been removed as part of anonymization efforts. This information is, however, available upon request
Africa; Decision and Policy Analysis - DAPA; Farm production; Sex-disaggregated data