GODAN e-learning course on Open Data Management in Agriculture and Nutrition

Open Data Management in Agriculture and Nutrition online course (on GODAN portal)

in English - have been delivered through the FAO of the UN MOODLE e-learning platform.  

This e-learning course is the result of a collaboration between GODAN Action partners, including Wageningen Environmental Research (WUR)AgroKnow, AidData, 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).


how to deal with different types of data formats and uses, and on the importance of reliability, accessibility, interoperability and transparency of data. The course covers key knowledge and concepts needed by the target audience groups, as well as provides task-based and vocational training to support information and data professionals in their daily activities.


  • Infomediaries (including ICT workers, technologist-journalists, communication officers, librarians and extensionists) - interested in open data and research data management (in agriculture and nutrition);  
  • Researchers engaged in producing and curating datasets that underlie research publications, identifying datasets suitable for reuse in research as well as in communicating societal benefits of research results;
  • Policy and decision makers involved in formulating policies and reports using open data, and in developing strategies for sustainable open data plans.


and split into five units (comprising a series of e-learning lessons):

UNIT 1 :


Lesson 1: What is open data

Lesson 2: Ethics in open data LifeCycle

UNIT 2 :



Lesson 1: Discovering open data

Lesson 2: Quality and provenance

Lesson 3: Data analysis and visualisation

Lesson 4: Open data in policy cycles

Lesson 5: Referencing data

UNIT 3 :



Lesson 1: Managing data sets

Lesson 2: Managing dynamic datasets

Lesson 3: Creating and managing data repositories

Lesson 4: Advocate for capacity development

Lesson 5: Developing strategies for implementing open data plans

UNIT 4 :



Lesson 1: Guiding frameworks for data sharing

Lesson 2: Introduction to open data interoperability

Lesson 3: Structural and architectural interoperability

Lesson 4: Semantic interoperability

Lesson 4.1: Using published semantics for agronomic data

UNIT 5 :


Lesson 1: Intellectual property rights

Lesson 2: Licensing


strengthen the capacity of data producers and data consumers to manage and use open data in agriculture and nutrition. In particular, by the end of the course, learners will be able to:

# Understand the principles and benefits of open data

# Recognize the potential of using and publishing open data in agriculture and nutrition

# Identify the steps to advocate for open data policies, in both public and private sectors

# Be aware of the economical and social value of open data

# Understand how and where to find open data

# Identify benefits of using data creation, management and exchange widely-used good practices in agriculture and nutrition

# Recognise the necessary steps to set up an open data repository

# Understand how to advocate for the adoption of open data principles

# Identify the principles to make data FAIR : findable, accessible, interoperable, and reusable

# Recognise the benefits and costs associated with exchanging meaningful open data

# Understand the basics of copyright and database rights

# Know how to assign licenses to data and how to respect licenses while using data

Welcome to Open Data Management in Agriculture and Nutrition Online Course UNITS 

Skills and knowledge obtained in this course are to be used in the context of different institutions in agricultural and nutrition knowledge networks.


The course lasts four weeks, with an end of course exam and course evaluation at the endLearners will take short quizzesassignments and hands-on practices within the units.

Attendance of certificate is provided for those who passed the end of course exam with 60% success rate.  Certificate are only provided in electronic form in PDF.

Important announcements and upcoming event related to the course will be made on the course page (GODAN).

GODAN Action is a programme launched by the UK’s Department of International Development (DFID). It brings together agriculture and nutrition specialists and open data experts, and will support Global Open Data for Agriculture and Nutrition (GODAN)  by building and developing people’s capacity to engage with open data.

You can get in touch with any other questions or thoughts about this online course at the following e-mails: <[email protected]>, <[email protected]>

Followie @AIMS_Community... and thanks again for your interest!



Data management practices have been described in detail in a variety of documentation and tutorials, which may focus on specific needs and resources applicable to the organization that produced them:

The Data Scientist’s ToolboxThe course gives an overview of the data, questions, and tools that data analysts and data scientists work with. It focuses on a practical introduction to tools, using version control, markdown, git, GitHub, R, and RStudio; 
Getting and Cleaning DataThis course will cover the basic ways that data can be obtained. It will also cover the basics of data cleaning and how to make data “tidy”. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data. Tools used in this course:  Github, R, RStudio;
Reproducible Research.