There is an urgent need to support countries in strengthening their capacity to collect and use time use data, for better policies and approaches to implement the 2030 Development Agenda at local, national and regional levels. This urgent need has also been voiced by countries, when they adopted the International Classification of Activities for Time Use Statistics (ICATUS 2016) at the 48th session of the UN Statistical Commission in March 2017 and requested to operationalize the classification and to provide guidance on how to implement it to produce internationally comparable time use data, using the latest technology.
The project will contribute to building capacity in countries to produce and use time use statistics, in support of measuring and monitoring their national development plans and indicators, including SDG 5.4.1 on unpaid work, as well as other development issues such as employment and learning. The project is expected to develop and test methodological guidelines on how to modernize the collection, analysis and use of time use data. These guidelines will cover cost-effective tools and a sustainable model to institutionalize the systematic collection of these data. The guidelines will be available for use by all countries and will be widely promoted through regional training workshops. Furthermore, the project will also contribute to improved data/policies integration in target counties. This will be achieved through a series of national events to promote stronger collaboration between users and producers of time use data where participants will also identify/map which time use data are needed for which national development policies. improved data/policies integration in target counties.
The project aims to address the technical and institutional barriers to the establishment of routinely produced environmental-economic accounts at the national level. Project activities will focus on: building the institutional framework in support of the SEEA implementation, taking into consideration existing initiatives and activities in the countries and policy priorities; building capacity in the countries to compile selected accounts on a regular basis, while contributing to the development of SEEA compliant global databases; fostering inter-institutional collaboration to promote collaboration and data-sharing in producing the accounts; and promoting the effective use and communication of the accounts in supporting evidence-based policy and the SDGs.
The project will support six developing countries (for example, Lao PDR, Kyrgyzstan, Morocco, Myanmar, Tajikistan and Tunisia), from three different sub-regions to ensure geographic diversity and multiplication effects in the various regions. Countries will be selected on the basis of their demonstrated interest to put in place a SEEA programme in the country to meet policy needs and the demands for SEEA accounts to inform policies. The project will support and build on achievements from past activities in the target countries, in particular introductory blended learning workshops on the SEEA, carried out by DESA/SD, in partnership with the regional commissions. The project will also build on initial technical assistance provided by partner organizations to some of the selected countries.
The objective of this project is to improve and strengthen national geospatial information management, system and capacities, particularly, the production, provision and application of timely, reliable and official geospatial data and information in China and other developing countries. The project will help in meeting the needs of national strategic and development priorities as well as the national implementation of the 2030 Agenda for Sustainable Development. Within this overall objective, special attention will be given to the organization and management of national geospatial data and information systems including institutional and legal frameworks; core or fundamental datasets; geodetic positioning infrastructure and reference frame; sharing and dissemination of quality geospatial information; approaches, methodologies and tools towards strengthening national geospatial information management, systems and capacities; facilitating an accessible, integrative and interoperable local to national to global information systems that supports the implementation of national development agendas, evidence-based policy and decision–making, measure, track progress and monitor outcomes.
The project focuses on improving and strengthening the national geospatial information management capacities of developing countries in two beneficiary regions, namely, Africa and Asia and the Pacific, towards implementing the 2030 Agenda for Sustainable Development and evidence-based policy and decision-making. The 2030 Agenda recognizes that timely and accessible geospatial information and statistics, and their combined analyses, are a prerequisite for good policy-making and supporting and tracking development progress. However, there is still a lack of awareness, understanding and uptake of the vital and integrative role of geospatial information within national circumstances, particularly in developing countries. The project supports identified countries in the beneficiary regions to develop and strengthen their national technical capacities and mechanisms through the provision of frameworks and guides that recognize national circumstances through regional or sub-regional activities for: (a) the application of geospatial information to augment national statistical systems and inform the global indicator framework; (b) improving the integration of statistical and geospatial information through implementing the principles of the Global Statistical Geospatial Framework; and (c) improving data sharing and dissemination through appropriate consideration of legal and policy frameworks and guidelines. The project contributes towards improving the timeliness, availability and accessibility of geospatial information at all levels by national geospatial information authorities, thus improving and strengthening national geospatial information management and systems.
The overall objective of the project is to strengthen national capacity in collecting and compiling comprehensive and internationally comparable migration data that meet international standards, and to enhance understanding of the uses and limitations of migration data for policy purposes and for the monitoring of the migration related goals and targets in the 2030 Agenda for Sustainable Development.
More specifically, in collaboration with partner organisations, the project aims to improve data availability through technical capacity building of countries in producing basic migration statistics, statistics on human trafficking and socioeconomic statistics disaggregated by migratory status for the SDG monitoring. This objective will be achieved through (a) preparing technical guidelines on producing data for migration-relevant SDG indicators; (b) providing trainings to countries so that national statisticians become familiar with international standards on migration statistics and statistics produced are harmonized within the country and comparable at international level; (c) building an online data portal for migration statistics which would enhance the data availability at the international level.
Under the proposed programme on statistics and data, the 10 implementing entities will work closely together to strengthen the capacities of national statistical systems in developing countries to be better able to respond to the increased demands for data resulting from the anticipated adoption of the sustainable development goals in a systematic and strategic way. The implementing entities are long-standing and trusted partners of national statistical offices and national statistical systems, and possess considerable technical expertise and experience, which places them in a unique position to provide assistance to countries in this challenge. The programme will provide guidance on improvements required to strengthen the institutional settings and arrangements within the national statistical offices, including the related statistical business processes. Such guidance will then need to be adapted to the specificities of each country’s current official statistical arrangements. The programme will also address data gaps in specific thematic areas, combining a cross-cutting approach with sector-specific demands, as identified by Member States.