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Structured Data Education

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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    Data and code associated with the IDB Publication "Grandmothers and the Gender Gap in the Mexican Labor Market". ENESS data is available for 2009, 2013, and 2017. As an accompanying module of the ENOE, it covers all the households covered by the ENOE for two out of the three months in the quarter. Hence, the ENESS covers roughly two-thirds of the ENOE sample for the quarter. The ENESS data includes responses from 209,266 households. These households use public and private daycare providers for 3,991 and 1,177 children under seven years old.
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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    The Brazilian Schools Panel database and Brazilian Municipal Education Panel Database combine and simplify 20 years' worth of data from the Brazilian School Census, educational testing, and educational indicators. This report provides an introduction to the data and serves as a road map to their strengths and limitations.
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  • Dataset

    By Office of Strategic Planning and Development Effectiveness (STC/SPD/SPD)
    The Community Nutrition Program in El Alto, Bolivia is the second phase of a program originally implemented between 2008 and 2011. The newly-structured program had objectives to improve infant and young child feeding practices, hygiene, and child nutritional status through a behavioral-change strategy based on participatory play education. This dataset includes the data of an evaluation survey to this program, which contains three rounds of data—Baseline (2014), endline 1 (2016) and endline 2 (2017)—on an (unbalanced) panel of 2015 households with children under the age of 12 months or pregnant women at baseline. The survey includes a rich set of socio-economic, demographic and nutrition variables. Datasets were anonymized to protect subject privacy. Variable names, their labels, and any actions taken for de-identification purposes are noted in the codebook below.
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  • Dataset

    By Competitiveness, Technology and Innovation Division (VPS/PTI/CTI)
    The COVID-19 pandemic has shown that bioinformatics--a multidisciplinary field that combines biological knowledge with computer programming concerned with the acquisition, storage, analysis, and dissemination of biological data--has a fundamental role in scientific research strategies in all disciplines involved in fighting the virus and its variants. It aids in sequencing and annotating genomes and their observed mutations; analyzing gene and protein expression; simulation and modeling of DNA, RNA, proteins and biomolecular interactions; and mining of biological literature, among many other critical areas of research. Studies suggest that bioinformatics skills in the Latin American and Caribbean region are relatively incipient, and thus its scientific systems cannot take full advantage of the increasing availability of bioinformatic tools and data. This dataset is a catalog of bioinformatics software for researchers and professionals working in life sciences. It includes more than...
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