The Data For Now initiative (Data4Now) aims to develop countries’ capacities to deliver the information needed by local and national policy and decision makers to achieve the 2030 Agenda and make a positive difference in people’s lives.  To this end, it supports members of the national statistical systems in participating countries to collaborate more effectively with local, national and global partners from intergovernmental organizations, academia, civil society and the private sector, in order to leverage innovative sources, technologies and methods for the streamlined production and dissemination of better, more timely and disaggregated data for sustainable development. The initiative, which was launched by UN Deputy-Secretary General Amina Mohammed on 25 September 2019 on the sidelines of the United Nations General Assembly, seeks to enhance collaboration and promote synergies across increasingly complex data systems, supporting the mainstreaming of data innovations into official statistical production processes, including geospatial information, big data and other non-traditional data sources.  It is co-led by a core team consisting of the United Nations Statistics Division (UNSD), the World Bank, the Global Partnership for Sustainable Development Data (GPSDD), and the Sustainable Development Solutions Network (SDSN). A set of eight trailblazer countries from 3 continents have already joined the initiative, namely: Bangladesh, Nepal, Mongolia, Paraguay, Colombia, Ghana, Rwanda and Senegal. With this project, it is expected that 8 more countries will join the initiative. Data4Now is about accelerating the sustainable use of robust new methods and innovative tools that improve the timeliness, coverage, and quality of SDG data through collaboration, partnerships and capacity development. The work will also allow more timely and accurate measurement of the effects of the COVID-19 pandemic and related policy interventions. The Data4Now initiative draws closely from the learnings of previous and ongoing work carried out by UNSD, the World Bank, GPSDD, and SDSN, and has been designed with inputs from government, civil society, academic and private sector partners. An inception workshop of the Data4Now initiative was hosted by the National Institute of Statistics of Rwanda, in Kigali, Rwanda, on 13-14 November 2019. In this inception workshop, funded jointly by the four core partners, representatives from national statistical systems in the eight trailblazer countries, as well as partners from the private sector, academia and international identified priority needs and deliverables, and explored possible partnerships and solutions around data, technology and methods with highest potential impact to attain those deliverables. Building on the outcome of the inception workshop and the initial results of the activities in the trailblazer countries, UNSD, in close coordination with the other Data4Now core partners, will develop a work plan to collaborate with 10 additional countries in Africa and Asia that would join the Data4Now initiative. This plan foresees specific activities to support the production, analysis and use of accurate, inclusive and up-to-date data for the SDGs on priority themes identified by the national statistical system authorities of the 8 countries in the initial phase of the project.   
 

The objective of this project is to strengthen the statistical capacity in China and other developing countries especially in the area of basic statistics. Within this overall objective, special attention will be given to the fields such as the organization of the national statistical system, application of modern technologies in statistical work and service to statistical users. Knowledge transfer will include sharing of experiences in South-South collaboration.
The proposed expected accomplishments are (1) strengthened and optimized organization of national statistical systems and improved dissemination of data to policy makers and other users, and (2) increased capacity of the national statistical systems to produce better quality and more relevant statistical data for policy makers and other users especially in the areas of economic, environment and social statistics, thus improving data quality and credibility in a comprehensive manner.
In consideration of the statistical demand from China and other developing countries, priority will be given to a wide range of subject matter areas, including: big data, use of administrative records in statistics, application of modern technologies in statistical work, spatial analytics and information, research on innovation of statistical survey methods, statistics for services sector, environmental economic accounting, energy statistics, household surveys, enterprise innovation statistics, social statistics, gross fixed capital formation accounts, evaluation of resource utilization, well-being statistics, service to statistical users, and development and use of statistics, etc.
The implementation strategy to achieve the above expected accomplishments include: (i) international workshops; (ii) provision of materials on practices in implementation of latest international standards; (iii) technical advisory missions; (iv) exchange of staff among statistical offices; (v) sponsorship of short-term work or study in international organizations or other institutions; and (vi) study visits for officials to international seminars and conferences. The Statistics Division is currently implementing the second phase of this project. The first phase run from 2009 to 2014.

The overall objective of the project is to contribute to government capacity to effectively produce and use time-use data in policy formulation for the implementation of the 2030 Agenda in Africa, Latin America and Western Asia. More specifically, in collaboration with ECA, ECLAC and ESCWA, 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 indicators on other development issues such as employment and learning. This will be achieved through the development and testing of methodological guidelines on how to modernize the collection, analysis and use of time-use data based on assessments of national capacity and needs in the following regions Africa, Latin America and the Caribbean, and Western Asia (one project country per region). The resulting guidelines will cover cost-effective tools and a sustainable model to institutionalize the systematic collection of time-use data. As part of the rollout phase, the guidelines will be available for use by all countries and will be widely promoted through regional training workshops and national events in the project countries (one project country per region) to promote stronger collaboration between users and producers of time-use data where participants will also identify/map time-use data needs to national development policies. This way, the project will also contribute to improved data/policies integration.

When good-quality administrative systems are in place and their information is regularly updated, they can reliably provide a full picture of key aspects of a country’s population or economy on a continuous basis. Data collected for administrative purposes can be a rich and cost-efficient source for the production of timely and high-quality official statistics, especially to address the urgent need for disaggregated data on SDG indicators to ensure no one is left behind in the implementation of the 2030 Agenda. However, many countries still lack the infrastructure and technical and institutional arrangements needed for the efficient exchange and processing of administrative data and metadata for the production of official statistics. Moving in a direction of increased use of administrative data for statistics production will also make the statistical system more agile and resilient in times of crises such as the Covid-19 pandemic. The project supports 9 countries in addressing legal and technical challenges to administrative data sharing and processing administrative data. For each country one or two thematic areas are chosen. The results of the work will provide practical level experiences that also others can benefit from and will lead to a number of examples along the overall process of using administrative data for statistical purposes; from accessing data to processing them and publishing statistics based on them. Key stakeholders of this work will be the National Statistical Offices and the owners of the administrative data, along with the wider statistical system. Policy and decision makers will benefit from the results of the work.