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The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.
The Substance Abuse and Mental Health Data Archive (SAMHDA) is an initiative funded under contract HHSS283201500001C with the Center for Behavioral Health Statistics and Quality (CBHSQ), Substance Abuse and Mental Health Services Administration (SAMHSA), U.S. Department of Health and Human Services (HHS). CBHSQ has primary responsibility for the collection, analysis, and dissemination of SAMHSA's behavioral health data. Public use files and restricted use files are provided. CBHSQ promotes the access and use of the nation's substance abuse and mental health data through SAMHDA. SAMHDA provides public-use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health.
Knoema is a knowledge platform. The basic idea is to connect data with analytical and presentation tools. As a result, we end with one uniformed platform for users to access, present and share data-driven content. Within Knoema, we capture most aspects of a typical data use cycle: accessing data from multiple sources, bringing relevant indicators into a common space, visualizing figures, applying analytical functions, creating a set of dashboards, and presenting the outcome.
The Gateway to Global Aging Data is a platform for population survey data on aging around the world. This site offers a digital library of survey questions, a search engine for finding comparable questions across surveys, and identically defined variables for cross-country analysis. The Survey Meta Data Repository provides Health and Retirement Study metadata of family surveys. Survey Meta Data Repository primarily provides access to survey metadata so researchers can compare survey formats, types and identically defined variables. Additional resources include tools for cross-country analysis, general statistics by country and year, survey question library, and tools for comparing questions across the surveys. Datasets are in Stata format; users must register and request datasets.