Agriculture Data, Knowledge for Learning and Innovation Group

The aim of the task group is to provide requisite information for biennial review discussions and for policy and program formulation on improving the quality, reliability, management and accessibility of agricultural research data in African Counties (AC) and beyond.  Further to strengthen the collection, management, and availability of agricultural statistics data in AC based on already developed strategic plan for strengthening agricultural and rural statistics (SPARS) and within Comprehensive Africa Agriculture Develop Programme (CAADP) processes. . [more...]

Goal and Objectives
To coordinate efforts at every level to collect, analyze, and publish the agricultural research data needed for the Sustainable Development Goals (SDGs) in Africa and Africa Union 2063 agenda
[more on objectives..]

Call for Applications - CODATA RDA Data Steward School 2019 - Deadline 1 June 2019
(1)  The CODATA-RDA Research Data Science Summer School provides training in the foundational skills of Research Data Science. Contemporary research – particularly when addressing the most significant, transdisciplinary research challenges – cannot be done effectively without a range of skills relating to data. The school is held at the [International Centre for Theoretical Physics]( running from August 5-16. [more....]

Courses and Training Materials Links

Online open access course for researchers and librarians
Training materials and other learning resources available from the GODAN Action Project
School of data where you can find online courses about data

Open Data Management in Agriculture and Nutrition online course and resources from GODAN Action might be useful to some of you. The course might be useful for policy makers and scientists working in the area of agriculture, nutrition, weather and climate, and land data.  [more...]

It consists of five units as follows including 18 lessons. 

Previous Courses: more....


The New Chair of Data Science and Data Engineering is Hiring

The new chair for “Data Science and Data Engineering”
( is looking to hire six fully-funded PhD candidates in the research areas of

* graph mining (two positions open)
* anomaly detection (two positions open)
* predictive analytics (two position open)


Accords on Open Data