Data and evidence are the foundation of development policy and effective program implementation, and countries need data to formulate policy and evaluate progress.
At the global level, the World Bank has a strong reputation in development data and has been highly effective in data production. It produces influential, widely used data and cross-country indicators that fill important niches, benchmark countries, and stimulate research and policy action.
Deadline: 07-Sep-2017 at 11:59:59 PM (Eastern Time – Washington D.C.)
GFDRR is supporting the development of an open data schema for hazard, exposure and vulnerability data through the Challenge Fund(https://www.gfdrr.org/challengefund). This Consultancy will support the project by developing software that will allow for extracting a subset of hazard, exposure and vulnerability data from external databases using an API, and then subsequently downloading and interactively analyzing the extracted data. The software should allow the user to save and/or print the analysis results. It should permit a variety of means for exploring and understanding the data. The overall goal is to provide a non-expert user with the ability to simply extract, explore and understand hazard, exposure and vulnerability data relevant to a country or region of interest. The desktop versions should be compatible with common operating systems. The software should be based on open-source software such as R or Python. This will need to be delivered by March 2018.
In July of 2016, the Global Partnership for Sustainable Development Data (GPSDD), announced a new multi-million dollar funding initiative to support collaborative data innovations for sustainable development. Today, the Partnership, working in close collaboration with the World Bank’s Development Data Group, is delighted to announce the recipients of the pilot round of this initiative.
Deadline: 28-Feb-2017 at 11:59:59 PM (Eastern Time – Washington D.C.)
Specific objectives include:
1) Individual assessments and summary report of 20 municipalities including what tabular and spatial data exists, what format this data is in, how existing data is being used, what data must still be collected, what technology, including equipment, is currently being used to apply the data to the planning process of the municipality;
2) Study of data standards/specifications being used for collection and maintenance of data pertaining to cadastral, critical infrastructure, land use, etc. as well as broader planning and hazard/risk assessments;
3) Recommendation on what municipal services could be linked with geospatial data; and,
4) Preparation of a strategy for enhancement of technical capacity and equipment for different types of municipalities.
WASHINGTON, January 9, 2017—The inequalities that make some countries poorer than others include inequalities of information. To make sound decisions on economic development, policymakers need reliable and—just as important—readily accessible data. That is the concept underlying a new World Bank Group platform called TCdata360, an open platform for trade and competitiveness data from inside and outside the World Bank Group.
TCdata360 combines vetted datasets from more than 20 organizations—including the Bank Group, United Nations, World Trade Organization, World Economic Forum, and Organization for Economic Cooperation and Development—in an interactive, easy-to-use platform. Busy policymakers, development practitioners, academics, and industry specialists can use the site to access, compare, and download timely data on some 2,000 indicators related to a wide variety of trade and competitiveness topics such as trade logistics, global value chains, investment climate, entrepreneurship, and the cost of business operations.
TCdata360 provides snapshots of countries’ economic performance on key indicators.
Each year on July 1, the analytical classification of the world’s economies based on estimates of gross national income (GNI) per capita for the previous year is revised. As of 1 July 2016, low-income economies are defined as those with a GNI per capita, calculated using the World Bank Atlas method, of $1,025 or less in 2015; lower middle-income economies are those with a GNI per capita between $1,026 and $4,035; upper middle-income economies are those with a GNI per capita between $4,036 and $12,475; high-income economies are those with a GNI per capita of $12,476 or more. The updated GNI per capita estimates are also used as input to the World Bank’s operational guidelines that determines lending eligibility.