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INED DataLab’s Mortality and Health Databases: Valuable Sources for Comparative Research

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  • Title:
    INED DataLab’s Mortality and Health Databases: Valuable Sources for Comparative Research
  • Author: Caporali, Arianna ; Couppié, Etienne ; Hourani, Iris ; Poniakina, Svitlana
  • Subjects: Humanities and Social Sciences
  • Description: In the current context of Open Data, it is crucial for a research institute such as the French Institute for Demographic Studies (INED), to contribute to the dissemination of reliable and well-documented data for comparative demographic research. To this end, INED has created a DataLab, which brings together activities related to the design, collection, dissemination, updating and overall maintenance of demographic and contextual databases. This poster aims at promoting the international databases on mortality and health managed by INED’s DataLab. The databases are the International Database on Longevity (IDL), the Human Cause-of-Death Database (HCD), and the Demography of COVID-19 Deaths Database (DCDD). HCD is a joint project between INED, the Max Planck Institute for Demographic Research (MPIDR, Rostock, Germany) and the University of California (UC Berkeley, USA), that brings together series of deaths by cause with a constant medical definition for sixteen countries since the 1950s. IDL is a project supported by an international network of researchers, which gathers individual data on semi-super-centenarians (105-109 years old) and super-centenarians (over 110 years old) in thirteen countries. DCDD provides international data on COVID-19-related deaths for twenty-one countries, well-documented and detailed by sex, age and, when available, places of death. The poster illustrates background, content, and methods of each database. It points out the general principles underpinning them (completeness, comparability, documentation) and their interests for mortality and health researchers. Visualizations and tables will illustrate the databases content and coverage. The poster ends with the added value of the DataLab work for these databases.
  • Creation Date: 2022
  • Language: English
  • Source: HAL SHS: Archive ouverte en Sciences de l'Homme et de la Société (Open Access)
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