Data management support pack

This pack is designed to help you produce high quality, reusable and open data from your research activities. It consists of documents, templates and videos covering the different aspects of data management and ranging from the overarching concepts and strategies through to the day-to-day activities. For each of the videos in the pack we have included a transcript of the narrative. The Data Management Support Pack was created to support the implementation of the CCAFS Data Management strategy

Global summary of baseline household survey results

This report summarises the results of a baseline household-level survey, designed by the CCAFS team and implemented in late 2010/early 2011 in 3 regions: East Africa, West Africa and South Asia. This survey was designed with the intent of developing simple, comparable cross-site household level indicators, for which changes can be evaluated over time, of food security, households assets, agricultural production diversity, agricultural sales diversity, changes being made in farming practices for adaptation, innovation, and/or to help reduce emissions or store greenhouse gases (mitigation), and gender indicators (e.g. men’s versus women’s reception of weather-related information). A standardised survey, guidelines and training materials were implemented across 12 countries in West Africa (Senegal, Mali, Burkina Faso, Niger, and Ghana), East Africa (Kenya, Uganda, Ethiopia, and Tanzania), and South Asia (India, Nepal and Bangladesh). Thus we have a total of 15 core sites covering 108 villages and 2095 households. This summary report gives an overview of the farming practices, and asset, livelihoods and food security status of rural households in these sites. It describes what changes farmers have been making in recent years with respect to crop management, livestock practices, use of inputs and other agricultural practices. We explore what kinds of weather/climate and associated information these households are receiving, how and by whom. This information provides important baseline information, as these households will be revisited in 5-10 years’ time in order to evaluate the changes in these indicators. This will give us important information as to if, how, and which households are adapting to a changing climate while improving their food security status

CCAFS Household Baseline Study, Latin America & South East Asia (2014-2015)

This dataset contains files produced for and generated from the CCAFS Household Baseline Study carried out in sites in Latin America (Trifinio in Honduras/Guatemala, and Cauca in Colombia) and in South-East Asia (a site in each of Cambodia, Laos and Vietnam) in the latter months of 2014 and the early months of 2015. There are six sites in all (two sites from Trifinio). Before downloading any of the files, particularly the data files, please download and read the CCAFS ReadMe file which is prefixed by the code 0000. To gain access to the GPS coordinates from the restricted files please download and complete the Non-disclosure agreement from the file "0002 Non-Disclosure Agreement 2013-01-20.pdf" and send this to Wiebke Foerch at [email protected] The study was based on earlier baseline studies carried out in sites in West and East Africa and in South Asia. Data and other files from these earlier studies are available in a separate dataset in this Dataverse archive. (CCAFS Household Baseline Survey 2010-2012). If you are intending to use data from both studies together we suggest you read the file "0001 Questionnaire Differences & Recoding Details 2015-10-29.pdf" which explains differences between the two studies

CCAFS Household Baseline Study, Latin America & South East Asia (2014-2015)

This dataset contains files produced for and generated from the CCAFS Household Baseline Study carried out in sites in Latin America (Trifinio in Honduras/Guatemala, and Cauca in Colombia) and in South-East Asia (a site in each of Cambodia, Laos and Vietnam) in the latter months of 2014 and the early months of 2015. There are six sites in all (two sites from Trifinio). Before downloading any of the files, particularly the data files, please download and read the CCAFS ReadMe file which is prefixed by the code 0000. To gain access to the GPS coordinates from the restricted files please download and complete the Non-disclosure agreement from the file "0002 Non-Disclosure Agreement 2013-01-20.pdf" and send this to Wiebke Foerch at [email protected] The study was based on earlier baseline studies carried out in sites in West and East Africa and in South Asia. Data and other files from these earlier studies are available in a separate dataset in this Dataverse archive. (CCAFS Household Baseline Survey 2010-2012). If you are intending to use data from both studies together we suggest you read the file "0001 Questionnaire Differences & Recoding Details 2015-10-29.pdf" which explains differences between the two studies

Maternal social capital and child wellbeing in comparative perspective

Social capital is defined as the norms, networks and associations that facilitate cooperative action. It can be divided into a behavioural or activity component of what people do – how they participate in groups – and a cognitive or perceptual component of what people think – whether they trust other people. While a growing body of literature focuses on social capital in developing and developed countries, the term has been criticised both conceptually and in terms of its policy relevance. Young Lives is the first study that comprehensively measures social capital in the developing world and links it to a wide range of measures of child well-being. The authors of the paper argue that social connection may help mothers to know more (e.g. the age at which their child should be immunised), think differently (e.g. be more positive about educating girls), and act (e.g. get a sick child to a health centre more quickly). It can also enable mothers to feel differently due to emotional support, etc. This paper summarises and reviews current debates around social capital, describes the approach and methods Young Lives uses to attempt to measure social capital and provides a comparative analysis of social capital across the four Young Lives study countries. It additionally highlights some of Young Lives’s initial, national-level analyses of social capital in relation to nutritional status, health and educational performance. The authors draw out some of the common themes from on-going research, identify policy implications and suggest future research priorities