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Found 11 result(s)
Country
The JenAge Ageing Factor Database AgeFactDB is aimed at the collection and integration of ageing phenotype and lifespan data. Ageing factors are genes, chemical compounds or other factors such as dietary restriction, for example. In a first step ageing-related data are primarily taken from existing databases. In addition, new ageing-related information is included both by manual and automatic information extraction from the scientific literature. Based on a homology analysis, AgeFactDB also includes genes that are homologous to known ageing-related genes. These homologs are considered as candidate or putative ageing-related genes.
Country
Exposures in the period from conception to early childhood - including fetal growth, cell division, and organ functioning - may have long-lasting impact on health and disease susceptibility. To investigate these issues the Danish National Birth Cohort (Better health in generations) was established. A large cohort of pregnant women with long-term follow-up of the offspring was the obvious choice because many of the exposures of interest cannot be reconstructed with suffcient validity back in time. The study needed to be large, and the aim was to recruit 100,000 women early in pregnancy, and to continue follow-up for decades. Exposure information was collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children were six and 18 months old. Participants were also asked to fill in a self-administered food frequency questionnaire in mid-pregnancy. Furthermore, a biological bank has been set up with blood taken from the mother twice during pregnancy and blood from theumbilical cord taken shortly after birth.
The Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of more than 26,000 Americans over the age of 50 every two years. The study has collected information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, genetic information and health care expenditures.
THIN is a medical data collection scheme that collects anonymised patient data from its members through the healthcare software Vision. The UK Primary Care database contains longitudinal patient records for approximately 6% of the UK Population. The anonymised data collection, which goes back to 1994, is nationally representative of the UK population.
Country
With its “Blood Donor BIOBANK”, the Bavarian Red Cross (BRK) Blood Donor Service offers a unique and innovative resource for biomarker research: the world’s first blood donor based biobank. Biobanks as collections of biological material together with associated medical data open new possibilities for the development of new targeted diagnostics and therapies. The BRK Blood Donor Service maintains a unique collection of over 3 million blood samples, making it one of the largest sample collections worldwide. Every working day 2,000 new samples are added to the collection.
Country
The German National Cohort (NAKO) has been inviting men and women aged between 20 and 69 to 18 study centers throughout Germany since 2014. The participants are medically examined and questioned about their living conditions. The GNC’s aim is to investigate the causes of chronic diseases, such as cancer, diabetes, cardiovascular diseases, rheumatism, infectious diseases, and dementia in order to improve prevention, early diagnoses and treatment of these very widely spread diseases.
<<<!!!<<< USHIK was archived because some of the metadata are maintained by other sites and there is no need for duplication. The USHIK metadata registry was a neutral repository of metadata from an authoritative source used to promote interoperability and reuse of data. The registry did not attempt to change the metadata content but rather provided a structured way to view data for the technical or casual user. Complete information see: https://www.ahrq.gov/data/ushik.html >>>!!!>>>
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.