This course builds on the content and experience of the GODAN Action online courses - “Open Data for Agriculture and Nutrition”, which has been offered since November 2017 and has trained over 4400 participants. The Farm Data Management, Sharing and Services for Agriculture Development online course will focus on strengthening the skills of professionals who use, manage data for the benefit of farmers and farmers organisations. The course explores the importance of data in the agriculture value chain and how new and existing technologies, products and services can leverage farm level and global data to improve yield, reduce loss, add value and increase profitability and resilience.

The main target audience groups include:

• Those who are involved in farmers’ organisations as administrators or staff i.e. those collecting farmer data and managing the data; and
• Development practitioners and technology providers, who, in addition,  assist farmers’ organisation setting up farmer profiling and creating data services.

 This course is no longer available. For more information, please contact [email protected]. 

What is in the course?

Unit 1: Data, Services and Applications will cover the topics of value of data in agriculture to support farmers, increase their income and develop food production; digital farmer profiling and the strategies to design business model for profiling. 

• Lesson 1.1: Data for agriculture
• Lesson 1.2: Farmer profiling 

Unit 2: Data Sharing Principles will focus on the topics of principles and benefits of open data; the potential of using and publishing data in agriculture; responsible data sharing practises for farm data; ethical and legal sensitivities of data-driven services; and data protection.

• Lesson 2.1: What is shared and open data? 
• Lesson 2.2: Challenges for smallholders in data value chains
• Lesson 2.3: Responsible data sharing in agricultural value chains
• Lesson 2.4: Personal data protection

Unit 3: Using Data will guide you on how and where to find open data; data quality elements, analyse, data analysis and visualization.

• Lesson 3.1: Discovering shared and open data
• Lesson 3.2: Quality and provenance
• Lesson 3.3: Data retrieval, analysis and visualization
• Lesson 3.4: Open data in policy cycles

Unit 4: Exposing Data will cover the topics of conceptual frameworks for sharing data; and the ways to make data findable, accessible, interoperable, and reusable.

• Lesson 4.1: Managing data for reuse
• Lesson 4.2: Guiding frameworks for data sharing
• Lesson 4.3: Introduction to data interoperability
• Lesson 4.4: Interoperability of farm data
• Lesson 4.5: Open licensing for data