How Interoperability can Strengthen Agriculture and Nutrition

January 29, 2018 Agriculture
Open Data

Food security, or people’s access to “sufficient, safe, and nutritious food,” remains a global challenge. Lack of access to nutritious food is not only more likely to affect those already facing difficulties such as poverty, economic shock and public health crises; when communities do not have adequate access to nutrition, they have a harder time fighting back against these challenges. As a result, ensuring adequate food security ultimately helps build resilient communities, breaking the cycle of poverty and creating economic growth, greater equality and better development outcomes.

We are proud to announce that Development Gateway (DG) has been working to support FHI 360’s Mobile Solutions Technical Assistance and Research (mSTAR) project to increase food security. Funded by USAID, mSTAR seeks to increase access to, and use of, digital technologies in development.

In our goal of increasing food security, DG and our partner Athena Infonomics (AI) are supporting researchers, program implementers, and development partners engaged in Feed the Future programming across Cambodia and Nepal. We aim to identify opportunities for strengthening data and digital interoperability across Feed the Future agriculture and nutrition portfolios to support better-informed decision making.

To strengthen interoperability, DG, AI, and mSTAR have been tackling the challenge of data sharing, accessibility, and use: seeking to understand what data producers and users need and how to support sustainable data usage. Over the past month, DG and AI have conducted a series of key informant interviews with partners and research hubs. While both Nepal and Cambodia offer unique challenges and opportunities, the researchers found commonalities across contexts.

PP 1

Figure 1: Demonstration Plots at the Center of Excellence on Sustainable Agricultural Intensification and Nutrition (CE-SAIN), housed in the Royal University of Agriculture (RUA) in Phnom Penh

Data Collection

The majority of interviewees (60%) reported using only paper-based data collection tools. Reasons for this preference varied from limited internet connection, to limited program budgets – and most acknowledged that the use of pen and paper makes transforming data into electronic formats time and labor intensive. Interviewees’ preference for either electronic or paper-based data collection – and the various reasons behind this preference – will inform how DG, AI, and mSTAR develop tools and processes to support greater data interoperability and knowledge sharing.

Data Sharing

As in other contexts, most data sharing amongst USAID-supported research labs and implementing partners occurs on an ad hoc or as needed basis. Professional networks – and in some cases thematic convenings – help facilitate this information sharing.

Interviewees did express interest in having an ability to access data in a more centralized and standardized way. Particular use cases for this type of open data repository include the ability to reduce duplication of primary data collection and to facilitate resource pooling amongst organizations working in the same catchment area.

Data Use

All interviewees reported using a combination of internal and external datasets to satisfy analytical and reporting requirements. Generally, interviewees also expressed a high level of comfort using data analysis tools. Some expressed interest in learning more about how to incorporate geospatial data into analyses, while others expressed interest in learning new data science software packages. As a key takeaway, in order to facilitate data sharing across partners, we will need to facilitate the sharing of standardized data with detailed methodology notes, in order to ensure partners have confidence in the data quality.

We look forward to developing and rolling out tools and processes to help address the challenges and opportunities above. By facilitating greater data and digital interoperability, DG, AI, and mSTAR aim to strengthen knowledge sharing and – ultimately – support better food security outcomes. Stay tuned for updates as our work progresses.

Share This Post

Related from our library

aLIVE Program Reaches Milestone: Livestock Data Standards Endorsed by Ethiopia’s Ministry of Agriculture

In early 2024, the "a Livestock Information Vision Ethiopia" (aLIVE) governing committee endorsed a comprehensive set of standards to guide the collection, storage, and maintenance of livestock data in Ethiopia (i.e., a data standard). The data standard specifically focuses on standardizing data on cattle, sheep, goats, and camels in the country. The National Livestock Data Standard document contains standardized data sets for national animal data recording, animal disease, diagnosis, treatment, vaccination recording, animal events recording, location, and other additional attributes.  

March 28, 2024 Agriculture
Unlocking the potential of digital public infrastructure for climate data and agriculture: Malawi

DG’s DAS Program recently attended an event on creating a national digital public infrastructure (DPI) in Malawi in order to increase the impact of climate data to combat current and future agricultural issues caused by climate change. In this blog, we reflect on three insights on DPIs that were revealed during the event discussion.

December 21, 2023 Agriculture
What Does a Good Agriculture Data System Look Like? Reflections from 2023 Festival de Datos

DG's joint session at 2023 Festival de Datos posed the question: What does a “good” agriculture data system look like? In this blog post, we'll delve into the key principles that emerged from the discussion.

December 14, 2023 Agriculture