Curriculum on Open Data and Research Data Management in Agriculture and Nutrition

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

This paper details the curriculum for the Open Data Management in Agriculture and Nutrition e-learning course, including background to the course, course design, target audiences, and lesson objectives and outcomes. 
This free online 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.
The course is delivered through Moodle e-learning platform.  Course units include:
Unit 1:  Open data principles
Unit 2:  Using open data
Unit 3:  Making data open
Unit 4:  Sharing open data
Unit 5:  IPR and Licensing
By the end of the course, participants will be able to:
- Understand the principles and benefits of open data
-  Understand ethics and responsible use of data
-  Identify the steps to advocate for open data policies
-  Understand how and where to find open data
-  Apply techniques to data analysis and visualisation
-  Recognise the necessary steps to set up an open data repository
-  Define the FAIR data principles
-  Understand the basics of copyright and database rights
-  Apply open licenses to data
The course is open to infomediaries which includes ICT workers, technologist - journalists, communication officers, librarians and extensionists; policy makers, administrators and project managers, and researchers, academics and scientists working in the area of  agriculture, nutrition, weather and climate, and land data.

Authoring Organization(s) Name: 
GODAN Action Network
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Massive open online course (MOOC)
Licenses - Core Trustworthy Data Repositories Requirements
Nutrition data
Food security data
Open data
Data ethics
Agriculture data
Capacity building
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Physical Sciences and Mathematics: Oceanography and Atmospheric Sciences and Meteorology
Life Sciences: Nutrition
Life Sciences: Agriculture
Published / Broadcast: 
Thursday, March 8, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
Global Open Data for Agriculture and Nutrition (GODAN)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contributor Organization(s): 
Wageningen University and Research
Food and Agriculture Organization of the United Nations (FAO)
Global Forum on Agricultural Research and Innovation (GFAR)
Institute of Development Studies (IDS)
Open Data Institute
Technical Centre for Agricultural and Rural Cooperation ACP-EU (CTA)
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Educator Curriculum Guide - document that defines what concepts should be taught and/or how a concept should be taught effectively.
Target Audience - intended audience for which the learning resource was created: 
Data policymaker
Research scientist
Research faculty
Data supporter
Data professional
Funding organization
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Week