The main aim of CODATA is to improve the quality, reliability, management and accessibility of data of importance to all fields of science and technology. CODATA has three main priorities as per its strategy entitled "Exploiting the Data Revolution:the CODATA strategy".

1) Data Policy- Supporting implementation of data principles and practices
2) Data Science- Addressing the frontiers of data science and its adaptation to scientific research.
3) Data Education- Capacity building (particularly in low and middle income countries (LMICs)

At the CODATA International Workshop on Open Data for Science and Sustainability in Developing Countries held at JKUAT and at UNESCO in Nairobi, it was agreed that JKUAT, would join CODATA on behalf of Kenya. Later, the CODATA General Assembly held in October, 2014 in India, accepted and welcomed Kenya warmly into the CODATA family.

Following the successful mounting of the International Workshop on Open Data for Science and Sustainability in Developing Countries at the United Nations Offices, Nairobi, various media outlets covered the workshop. JKUAT made a report on the different platforms that carried news items on the workshop. For full report go to  CODATA Workshop Publicity Report.

It was agreed at the workshop that Kenya establishes a regional Data Sharing Centre to accelerate generation, analysis, management and archival of scientific data to support its development plans. The Centre was envisioned to based at Jomo Kenyatta University of Agriculture and Technology will be actualized in partnership with the Chinese Academy of Sciences, Committee on Data for Science and Technology (CODATA) and the United Nations. ICT Cabinet Secretary, Dr Fred. Matiang’i said the Centre will facilitate creation of people-centric, inclusive, open and development oriented information society where people can create, access, utilize and share information and knowledge. On behalf of Kenya, JKUAT has established the desired centre named iCEOD. A detailed article can be found in the AgriTech News.

In recent years, the world has witnessed a growth in electronic data resulting from advancement in computing technologies.Making sense out of this data has evolved from decision support, to executive support, to online analytical processing, to business intelligence, to analytics and now to big data. The emergence of 'Big Data' has brought with it huge opportunities that can be seized if a new era of 'Open Data' is developed. Therefore, there is need to create a new discipline called Data Science.