Here at RHoMIS HQ, we are busy preparing the tool for a significant version update. Having been working with version 1.5 for most of 2019, from January 2020 onwards we are upgrading the entire RHoMIS system to version 1.6. Unlike the incremental survey improvements in the past, the current update is wider ranging and a key step towards bringing together the various elements of the toolkit into a coherent whole.
We have updated the core survey, built a super-short “minimal” core survey, updated all the optional modules, coherently packaged our data processing scripts (for the core content), updated our training materials, and will be updating our website to make all of these easily accessible.
Editor: Léo has been an invaluable member of the RHoMIS team, adding a thorough systems-thinking approach to our data analysis, skilled programming, and on top of that, an amazing fun attitude full of adventure! As he is begins his RHoMIS-related PhD, we have asked him to mark the transition with a new blog post. We are grateful for all he has given RHoMIS so far, and wish him the best as he begins these further studies.
Our RHoMIS work has led to a unique harmonised database of quantitative information on smallholder livelihoods in low and middle income countries (now containing interviews of more than 28,000 households in 31 countries). We are now in full force analysing these data to identify pathways towards food security, and underpin strategic studies trying to identify the drivers of diverse diets and possible trade offs between agricultural production intensification and key welfare indicators like gender equity.
What is less known is that our RHoMIS research actually originated from work focusing on bringing together existing household survey data from a wide range of projects and using those data to identify common indicators of food security, and farm livelihood characteristics determining food security.
RHoMIS is being utilised in a nutrition study led by the International Livestock Research Institute (ILRI) and the Thai Nguyen University of Agriculture and Forestry (TNUAF). The study aims to compare diet diversity data collected for the immediate past with data collected from the same household over a 12 month recall period.
Editor: In this month's blog article, we have asked Nils Teufel to share his work on a Nutrition research project in Uganda and Vietnam. The project utilises RHoMIS to look at food and nutrition security. A major focus of the research is to test diet recall and reporting accuracy over a 12 month period. The study in Uganda is beginning in August, while Vietnam began in March 2019.
I’ve worked with the RHoMIS survey for over a year now, built close to thirty applications, and worked with research teams in over twenty countries. Yet my trip to Uganda last week was my inaugural experience with applying the tool in situ. The trip gave me a first-hand experience of some of the challenges and nuances of local application of a survey.
The RHoMIS blog is written by a community of practice. The COP is made up of RHoMIS users and creators from across the world. Here we share their stories of how RHoMIS is helping to record and analyse household data.
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