Overview of the ADGG Data Platform J.M.K. Ojango*,R. Mrode, C. Ekine, E. Oyieng, D. Mogaka and A.M. Okeyo *Senior Scientist Livestock Genetics, ILRI-Biosciences Workshop with National partners in livestock production Kenya Kenya Agricultural and Livestock Research Organization, Naivasha, 20th May 2021 I now present statistics at a glance on the Africa Dairy Genetic Gains platform 1 Conceptual framework of the ADGG data platform Country Data platforms Data Extraction API Management System Administration Data Validation User management Data Analytics Other Database integration Data feedback systems API API Mobile applications Web applications Farm Data Capture Individual farmers Extension personnel Service providers National governments Livestock stakeholders Big Data systems API API API DATA PLATFORM KLBA, AVCD i-Cow Cooperatives ADGG LSF i-Cow Interherd ADGG i-Cow Interherd ADGG SRUC i-Cow ODK i-Cow Designed apps API = Application Program interphase Data collected can also be filtered to show the different breeds of animals from which data is being captured For example we have the well known European dairy breeds, and those that are called by indigenous names  Graphs are used to present the number of milk records in the database from each breed type. It is also possible to get a glimpse of the average daily milk production for a typical animal of a given breed type within each country 2 https://portal.adgg.ilri.org/ You access the Africa Dairy Genetic Gains data platform through the link at the top of this slide This is the landing page On the top bar are options with drop down menus reflecting  what is available through  the platform  3 Country Access to ADGG Platform As you scroll down the front page you see which countries have their data recorded on the platform, and get a glimpse on the quantity of data available from each country 4 Data collected can also be filtered to show the different breeds of animals from which data is being captured For example we have the well known European dairy breeds, and those that are called by indigenous names  Graphs are used to present the number of milk records in the database from each breed type. It is also possible to get a glimpse of the average daily milk production for a typical animal of a given breed type within each country 5 Example from Tanzania- 2 months Country Data- details available for accredited users Access to details on data for each country is only available to individuals who have been given user rights through their ICT personnel For example looking at data from Tanzania you see how many farms are registered on the platform;  how many animals have their data recorded;  how many milk data points are available based on animals already registered in the platform  As the data is collected in real-time using digital tools you get a map with the GPS points showing where the data was collected. This is one of the main checks in the platform to ensure that the data came from real farms 7 Filtering specific information in a country Data collected can also be filtered to show the different breeds of animals from which data is being captured For example we have the well known European dairy breeds, and those that are called by indigenous names  Graphs are used to present the number of milk records in the database from each breed type. It is also possible to get a glimpse of the average daily milk production for a typical animal of a given breed type within each country 8 Services: Artificial Insemination Services provided for the different animals on farms registered through data capture tools can be monitored over given time-lines.  Graphs and charts are present inseminations performed within specific regions, and the breed-type of semen used when providing the artificial insemination  The same information is available on bulls used for natural service 9 Monitoring Artificial Insemination services When monitoring the performance of those providing the artificial insemination service it is possible to get a quick overview of the number of services provided by each individual inseminator within each region on any given day 10 An overview of milk records captured each year Tanzania Ethiopia One can also get a very quick overview of the total number of milk data points captured each year within each region within each country Such summaries are relevant for policy-makers and decision-makers A lot is more available on the platform, and different types of summaries can be produced depending on the demands or the needs of the user 11 The project team Dairy Farmers & Farmer organizations National/regional Institutions/govts. Developing this platform and providing all this information is a collective effort of many partners, many institutions and the dairy Farmers. Thank you to everybody who has contributed and enabled us to have data from all types of dairy farmers in Africa all in one portal. 12 THANK YOU 13