science

Global Open Data for Agriculture and Nutrition

Global Open Data for Agriculture and Nutrition is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Global Open Data for Agriculture and Nutrition rather than just read about it. In short: Global Open Data for Agriculture and Nutrition (GODAN) is an initiative that seeks to "support global efforts to make agricultural and nutritionally relevant data available, accessible, and usable for unrestricted use worldwide. The initiative focuses on building high-level policy as well as public and private institutional support for open data." The initiative was launched in 2013, one year after the G8 summit in…

Key takeaways

Global Open Data for Agriculture and Nutrition belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Global Open Data for Agriculture and Nutrition to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Global Open Data for Agriculture and Nutrition from memory before moving on to harder problems.

Reference excerpt

Global Open Data for Agriculture and Nutrition (GODAN) is an initiative that seeks to "support global efforts to make agricultural and nutritionally relevant data available, accessible, and usable for unrestricted use worldwide. The initiative focuses on building high-level policy as well as public and private institutional support for open data." The initiative was launched in 2013, one year after the G8 summit in 2012 where G-8 leaders "committed to the New Alliance for Food Security and Nutrition as the next phase of a shared commitment to achieving global food security." According to the Open Data Institute, farmers and other stakeholders on the agriculture supply chain can make more informed decisions resulting in improved yields and efficiency – from farm to fork, when they have free access to useful information on agriculture and nutrition.

Partners GODAN and its partners aim to support the open data revolution and hosted the 2016 GODAN summit in New York in September. GODAN has over 400 partners from government, international and private organisations around the world. In the bid to support the open data revolution, the UK Department for Environment, Food and Rural Affairs made over 8,000 data sets available for free use in June 2015. In 2021, GODAN became a member of Global Waste Cleaning Network (GWCN).

Secretariat The GODAN secretariat was hosted by CABI in Wallingford, UK, from 2014 to 2019, and is now hosted by the Department of Food Science, Nutrition and Technology at the University of Nairobi, following a brief period at McGill University from 2020 to 2022. Its research and partnerships offices that were based in Wageningen, Netherlands, and Rome, Italy. are now hosted at the University of Nairobi with a demonstration station in Murang'a County, Kenya, in Kangema, Murang'a under the hosting of the Programme for Capacity Development in Africa.

Resources and financing "During its London and donor-supported paradigm, the GODAN Secretariat had an estimated five-year budget of $8.5 million, with five full-time employees. but is not reengineering its existence from Grants to co-creation project and platform development globally. During its heyday with partners, GODAN's activities and Secretariat were financially supported by the US Government, the UK Department for International Development (maximum of £2.5 over 5 years), the Government of the Netherlands, the UN Food and Agriculture Organization (FAO), Technical Centre for Agricultural and Rural Cooperation ACP-EU (CTA) Global Forum on Agricultural Research (GFAR), The Open Data Institute (ODI), the Consultative Group for International Agricultural Research (CGIAR) and the CABI."

Governance Then GODAN Secretariat was governed by a group of GODAN partners, including the US Government, the UK's DFID, the Netherlands Government, the Open Data Institute, FAO, CTA, CABI, CGIAR, and GFAR.

Activities

GODAN Summit 2016 In September 2016, GODAN held a two-day summit in New York described as “the largest event of its kind”, with the aim of raising awareness of the call for making agricultural and nutrition data open. The event featured high profile guests including then U.S. Agriculture Secretary Tom Vilsack and Willy Bett, Kenyan Minister of Agriculture, Livestock, and Fisheries.

References

External links Official website Open Data Institute Archived 2016-08-08 at the Wayback Machine Centre for Agriculture and Bioscience International

Worked examples

Example 1 — a first encounter with Global Open Data for Agriculture and Nutrition

Start with the simplest possible case. Write down what Global Open Data for Agriculture and Nutrition claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Global Open Data for Agriculture and Nutrition before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Global Open Data for Agriculture and Nutrition ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Global Open Data for Agriculture and Nutrition

In research: Global Open Data for Agriculture and Nutrition appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Global Open Data for Agriculture and Nutrition in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Global Open Data for Agriculture and Nutrition is common in secondary-school and first-year university syllabi. It links to neighbouring topics Agricultural databases, Non-profit organisations based in Kenya, Organisations based in Nairobi, so understanding it makes those chapters shorter.
In everyday life: Look for Global Open Data for Agriculture and Nutrition outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Global Open Data for Agriculture and Nutrition in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Global Open Data for Agriculture and Nutrition means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Global Open Data for Agriculture and Nutrition out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Global Open Data for Agriculture and Nutrition in simple terms?

Why does Global Open Data for Agriculture and Nutrition matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Global Open Data for Agriculture and Nutrition?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Global Open Data for Agriculture and Nutrition.