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INDEPTH is a global network of research centres that conduct longitudinal health and demographic evaluation of populations in low- and middle-income countries (LMICs). INDEPTH aims to strengthen global capacity for Health and Demographic Surveillance Systems (HDSSs), and to mount multi-site research to guide health priorities and policies in LMICs, based on up-to-date scientific evidence. The data collected by the INDEPTH Network members constitute a valuable resource of population and health data for LMIC countries. This repository aims to make well documented anonymised longitudinal microdata from these Centres available to data users.
The National Health Research and Studies Portal (NHRSP) is an initiative to build a national digital research data infrastructure, that provides data for health-related research, to meet tomorrow's health challenges. NHRSP aims to make health research more sustainable, efficient and responsive to health challenges, through research data sharing and re-cycling, in accordance with the ethical standards of scientific research.
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The Polar Data Catalogue is an online database of metadata and data that describes, indexes and provides access to diverse data sets generated by polar researchers. These records cover a wide range of disciplines from natural sciences and policy, to health, social sciences, and more.
The MRC National Survey of Health and Development 1946 (NSHD) was the first ever British birth cohort study. It has collected information from birth to the current day on the health and life circumstances of five and a half thousand men and women born during a week in March 1946 throughout England, Wales, and Scotland. The study explores differences in child development by factors like social class, biological factors, health and education. Due to the length of the study it has developed into a study of ageing.
The SICAS Medical Image Repository is a freely accessible repository containing medical research data including medical images, surface models, clinical data, genomics data and statistical shape models. The data can freely be organized and shared on SMIR and made publicly accessible with a DOI. Dedicated data sets are organized as collections of anatomical regions (e.g Cochlea). The data can be filtered using a modular search and accessed on the web or through the SMIR API.