Goal and Objectives
Goal
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..]
Webinar on Importance of Data cleaning on 5 August 2021
Data cleaning might seem dull and uninteresting, but it’s one of the most important tasks you would have to do as a data science professional. Correcting or removing “dirty data” improves the reliability and value of response data for better decision-making. Data cleaning involves the detection and removal (or correction) of errors and inconsistencies in a data set due to the corruption/irrelevance or inaccurate entry of the data. Incomplete, inaccurate or irrelevant data is identified and then either replaced, modified or deleted. [more....]
Work by members
The Locus Charter on using location data
The Locus Charter is a proposed international set of principles and guidance for ethical and responsible practice when using location data. I request you to be the champions of Locus Charter in your organisations and request your organisations to support the Locus Charter. [more...]
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...]