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Open administrative data allows transparency, participation, efficiency, and economic innovation. [7] Linked administrative data allows for the creation of large data-sets and has become a vital tool for central and local governments conducting research. [5] By linking sections of data individually, the online web of administrative data-sets ...
A wide range of World Bank datasets: schooling and financial data, etc. Global Administrative Areas: Administrative areas in this database are countries and lower level subdivisions such as provinces, departments, bibhag, bundeslander, daerah istimewa, fivondronana, krong, landsvæðun, opština, sous-préfectures, counties, and thana.
Data administration or data resource management is an organizational function working in the areas of information systems and computer science that plans, organizes, describes and controls data resources. Data resources are usually stored in databases under a database management system or other software such as electronic spreadsheets.
GADM, the Database of Global Administrative Areas, is a high-resolution database of country administrative areas, with a goal of "all countries, at all levels, at any time period." [ 2 ] Although it is a public database, GADM has a higher spatial resolution than other free databases, [ 3 ] and also higher than commercial software such as ArcGIS ...
Secondary data analysis can save time that would otherwise be spent collecting data and, particularly in the case of quantitative data, can provide larger and higher-quality databases that would be unfeasible for any individual researcher to collect on their own. In addition, analysts of social and economic change consider secondary data ...
Data varies in whether it is excludable. Data can be a public good or a club good, depending on what type of information it contains. Some data can reasonably be shared with anyone who desires to access it (e.g., weather data). Other data is limited to particular users and contexts (e.g., administrative data). Data involves externalities.
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
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