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Research facilitating open data

CCAFS, together with partners, is trying to develop new ways to communicate climate change adaptation.

Open data research can significantly help to stimulate changes in practices and organisation of the public and private sector actors in agriculture and food supply chains, but it cannot force those changes. Crucial are the researchers themselves, who need to interact to ensure their knowledge and expertise is used and useful.

With research is meant the whole system that produces knowledge and science, including universities, research centres, scientific publications and of course data. Research has its influence on the adoption and use of open data in three important ways: a knowledge reservoir, experimental playground, and objective watchdog. As a knowledge reservoir research provides objective and independent facts and figures, that can assist others in their decision making. While this is the function of research most commonly alluded to and most people will be aware of, the knowledge reservoir on open data in agriculture and nutrition is quite small as it is a new emerging topic.

Some aspects of it have been studied more extensively than others. For example, research on standards and metadata for making data available, and data assimilation in simulation techniques are well known. Other aspects are new and require a lot more attention, like impact evaluations on the benefits of open data, organisational changes caused by open data, and innovative business models for value creation with open data. Impact studies are important to provide public, private and civic sector actors some steer on vital developments in applications – like opening up weather data for farm management and open data on genetic resources for plant breeding.

Impact studies explain what the benefits are and how these benefits come about. They can also demonstrate that the benefits are enjoyed in another part of society than where the costs are. For example, small companies can make farm management applications based on open weather data, but weather agencies need to open up this data. This type of information enables stakeholders to jointly discuss models for benefit sharing. An important research priority on which knowledge is lacking is farmer, small business and consumer participation in the data value in a democratic way, such that each actor keeps control and experiences the benefits of his or her data ownership.

Experimental playground

Research can also offer an experimental playground for testing out developments before to deploy them on large scale. Just having data available as open, will not lead to changes by itself, as data needs to be combined, cleaned out and aggregated till wisdom is achieved (see in the figure Data-Information-Knowledge-Wisdom Pyramid of the Wageningen UR). As often such data combinations and aggregations are new and agriculture and food systems are geographical and temporally specific, research can offer facilities to discover what makes sense (and potentially more importantly what doesn’t).

This can be organised in research projects in which more in depth innovative work is done, like the Yield Gap project or the Food Secure project. Another way is through innovative collaborative sessions like hackathons, Bring Your Own Data workshops, and development sprints (i.e. data and ICT teams working closely together in the development of products). Here researchers both with an agriculture and food background and those with an IT, statistics or data background, can provide expert knowledge to facilitate the process of data value creation during such innovative collaborative sessions. This requires from researchers that they are able to act as brokers in the learning and discovery process of others, while these are using their knowledge and expertise.

An example in which this experimental playground function of research could be instrumental for change is the application of data from remote sensing (also called earth observation). Many detailed satellite images are coming available as open data (for example through the Copernicus program of the European Union). Such data could potentially be used in applications in agriculture such as yield forecasting, irrigation prediction, precision farming. However, it needs experimentation across crops, livestock systems, and farming systems. Observations in highly heterogeneous conditions with small farmer fields, intercropping and agroforestry the application will require a lot tuning and validation, what is the case in for example the CommonSense project (lead by Wageningen UR), which is one of the projects off the GeoData for Agriculture and Water programme (financed by the Netherlands Ministry of Foreign Affairs).

Objective watchdog

Finally, research has a role to play as an objective watchdog to provide wanted and unwanted feedback and common goods around developments of open data in agriculture and nutrition. The watchdog role for open data gives researchers the opportunity to highlight cases of application of open data that are relevant to society at large, while it might not be in the immediate interest of actors to release the data they have, and to highlight issues of privacy, digital divide and gender inclusiveness that could be studied more in detail in the future.

For example, in the Netherlands, there is now a discussion whether the agency admitting pesticides for use in agriculture should release its data on which the admission is based as open, such that it is open for public scrutiny and transparency. With respect to common goods, research can supply data sharing, IT and organisational infrastructure to ensure that all parties can have some level of access. This is also recognised in GODAN, where a Data Ecosystem Working Group is starting to explore infrastructural elements that should be available to all. For agriculture and nutrition, there is an important opportunity here in the sense that such platforms should not become monopolised by any single organisation.

The changing role of researchers

For research to be effective in its various roles, it also needs to change itself. First, it needs to open its own data where possible, so that this is available as a common good. There are movements in this direction with an Open Data Journal for Agricultural Research, many institutional data repositories and developments driven by funders such as the European Open Science Cloud.

Furthermore, research not only needs to lecture and send knowledge, but also listen to the needs to other actors for their needs in research. This makes the evaluation of (potential) impacts of open data across cases in agriculture and nutrition especially important, as this can drive the agenda of research and provide clear indications of obstacles related to a lack of knowledge and understanding. Therefore, in the GODAN Action programme cases on food safety, genetic resources, land data, weather data, nutrition data and food safety were studied with respect to their likely impacts.

In the next years the GODAN Action project will explore several of these cases in more detail, and for each case will work on standards and interoperability for data sharing, specific impact studies on benefits of opening certain types of data, and capacity building on open data of important actors for data-based value creation. The project will thus lead to guidelines on the use of standards, fact sheets and documented cases of impact and many trained individuals, which can also train others. Finally, the programme will produce reproducible methodologies and guidelines for working with open data in new cases. In this way, research will keep channels of communication open during its research process to ensure maximum usefulness of its findings.

Lire la suite

Innovators, programmers, and application developers are at the forefront of a movement that combines big data, open data, and the internet of things to create new marketable products and services for the agricultural sector. Events, like hackathons, pitching and networking gatherings, are important for these young innovators to improve and exchange ideas, get technological advice, connect to investors and marketers.

Demand is growing for gender data and targeted solutions for challenges unique to women, men, girls or boys. In Kenya, a community gathers and discusses gender citizen-generated data, which are uploaded to mobile phones and distributed to women leaders.

There is much potential for open data to positively affect the future of agriculture. But without a proactive, responsible approach, there is a very real risk of these changes benefiting only the most powerful actors within the sector.

Getting open data benefits to farmers will be crucial if the move towards open access is to have any real impact. There is a lot potential, but lack of reliable and contextualised data is currently working against smallholder farmers.


Open data research can significantly help to stimulate changes in practices and organisation of the public and private sector actors in agriculture and food supply chains, but it cannot force those changes. Crucial are the researchers themselves, who need to interact to ensure their knowledge and expertise is used and useful.

Increasing the open access to nutrition and food data for ICT developers has resulted in a surge in applications for a healthier food intake and better fitness.


It sounds simple, open data is there for anyone to access. However, not all journalists are aware of the open data available to them or how to use it when writing about food security or the critical challenges facing agriculture. Good journalism is not based on opinions, it relies on evidence-based information.

The Kenya government initiated the Open Data Initiative in 2011 on the idea that Kenya's information is a national asset. Agriculture is one of the main pillars, because food security and economic development can only move forward if decisions on agriculture are evidence-based. To be successful, data needs to be available, accurate, and open for all.

Wouldn’t it be handy if you could just switch on that app and see the agricultural (or any other) sector through a gender lens? And what if everyone else also working in the agricultural sector just magically started to use it? Would it make us do things differently, collect different data, push for the release and visualisation of other types of datasets, or would we make sure the data were more equally accessed and used?


  • Global Open Data for Agriculture and Nutrition
  • e-Agriculture

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