Description
Date
Available online all year
Location
trainingcentre.unwomen.org
Tuition fee
By invitation
Language
English
Duration
Between 1 and 2 hours per Module, meaning a maximum of 8 hours for the SDMX focused modules.
UN Women aims to ensure that SDG gender data is increasingly disseminated and used for decision making, advocacy and accountability.
The blended training approach on using SDMX for gender-related SDG data and metadata exchanges will gradually introduce national statisticians across Asia and the Pacific to:
- the value of using SDMX for exchanges,
- the basics of data modelling,
- the SDMX information model, data and metadata structure definitions for gender-related SDG indicators, and
- the available tools to complete data and metadata exchanges.
At the end of the online training segment, the participants will have a full knowledge of SDMX basic concepts, data modelling, data and metadata structure definitions in general and in particular for gender-related SDG indicators.
Between 1 and 2 hours per Module, meaning a maximum of 8 hours for the SDMX focused modules.
One more hour should be allocated to the final evaluation test.
National data producers familiar with SDG reporting and national data repositories: statisticians and IT specialists.
Additionally, representatives from other government institutions, including data producers in line ministries, might be interested in benefiting from the training, particularly if their institutions store gender data in on-line databases.
This online course has been developed with the financial support of Eurostat.
This course is a product of a shared effort of the following partner organisations: Eurostat and UN Women, facilitated by Artemis (with the support of Juan Munoz, SDMX expert)
The most recent versions of Adobe Reader and Adobe Flash are required to view the course. Please note that the course opens in a pop-up window, so make sure to disable the popup blocker. Headsets or speakers are also needed as there is an audio track throughout the lesson.
