Open Data Management in Agriculture and Nutrition

Open Data Management in Agriculture and Nutrition

The inspiration for this post is the e-learning course from the collaboration between GODAN Action partners, including Wageningen Environmental ResearchAgroKnowAidData, the Food and Agriculture Organization of the United Nations (FAO), the Global Forum on Agricultural Research (GFAR), and the Institute of Development Studies (IDS), the Land Portal, the Open Data Institute (ODI) and the Technical Centre for Agriculture and Rural Cooperation (CTA).
This GODAN initiative provides a  platform to bring technology and agriculture together. I am glad to be a part of it, learn from it and contribute back to the community. I am looking forward to learn the various sources and ways of using open data to address the food and nutrition challenge.
The course aims to strengthen the capacity of data producers and data consumers to manage and use open data in agriculture and nutrition. One of the main learning objectives is for the course to be used widely within agricultural and nutrition knowledge networks, in different institutions.

The course also aims to raise awareness of different types of data formats and uses, and to highlight how important it is for data to be reliable, accessible and transparent. Infomediaries, policy makers, administrators, project managers, researchers and scientists working in the areas of agriculture and nutrition are encouraged to take part of this e-learning course.

In the US and many other nations, water, land and resources are used wastefully or underused, for lack of knowledge, interest and know-how. If we all learn to improve the quality of vegetables / fruits and learn how to grow them in our backyards, we can eat better and nutritionally rich food. This will also reduce the pressure on our farm lands and natural resources.

The course is divided into 5 units. As we go through each unit I will summarize my learning and write additional blogs using the new skills that I gain.

Unit 1: Open Data Principles

Unit 2: Using Open Data

Unit 3: Making Data Open

Unit 4: Sharing Open Data

Unit 5: Intellectual Property and Copyright

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