The UN international consultant, Dr. Marjan Petreski conducted mapping of the data ecosystem existing in Turkmenistan and presented the best international practices for collecting, processing, and analyzing SDG data. Dr. Petreski also suggested potential data sources to fill reporting gaps, and offered solutions and actions to address shortcomings of the system for collecting and presenting SDG indicators. The training participants, who are the representatives of national ministries and entities responsible for SDG indicators methodology adoption, data collection and processing, discussed the common challenges and opportunities for reporting on national SDG indicators.
The training was organized within national SDG mid-term review in Turkmenistan aimed to take stock of SDG implementation progress in the country, identify good practices and analyze possible gaps to ensure timely policy measures, as well as to ensure that the country firmly follows the path to SDGs achievement. The main principle of the 2030 Agenda to leave no one behind guided the mid-term review to ensure due analysis of SDG progress for vulnerable groups. Results of the SDG MTR will feed into the preparation of Turkmenistan’s 2nd National Voluntary Review to be presented in 2023.
The training was also supported by UNDP Turkmenistan project aiming to strengthen the institutional, statistical, and informational-technical capacity of the State Statistics Committee of Turkmenistan.
Last year UNDP jointly with the Ministry of Finance and Economy of Turkmenistan launched the SDG national platform to collect and disseminate SDG data. This work is carried out as part of the joint efforts of the UN system and national Working Group on implementation of SDGs to strengthen national system for monitoring data and evaluating results for planning and tracking progress in achieving the SDGs in the country.