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Found 32 result(s)
Country
Health Data Nova Scotia (HDNS), is a data repository based in the Faculty of Medicine's, Department of Community Health and Epidemiology at Dalhousie University, focused on supporting data driven research for a healthier Nova Scotia. HDNS facilitates research and innovation in Nova Scotia by providing access to linkable administrative health data and analysis for research and health service assessment purposes in a secure, controlled environment, while respecting the privacy and confidentiality of Nova Scotians.
Project Tycho is a repository for global health, particularly disease surveillance data. Project Tycho currently includes data for 92 notifiable disease conditions in the US, and up to three dengue-related conditions for 99 countries. Project Tycho has compiled data from reputable sources such as the US Centers for Disease Control, the World Health Organization, and National health agencies for countries around the world. Project Tycho datasets are highly standardized and have rich metadata to improve access, interoperability, and reuse of global health data for research and innovation.
The Africa Health Research Institute (AHRI) has published its updated analytical datasets for 2016. The datasets cover socio-economic, education and employment information for individuals and households in AHRI’s population research area in rural northern KwaZulu-Natal. The datasets also include details on the migration patterns of the individuals and households who migrated into and out of the surveillance area as well as data on probable causes of death for individuals who passed away. Data collection for the 2016 individual interviews – which involves a dried blood spot sample being taken – is still in progress, and therefore datasets on HIV status and General Health only go up to 2015 for now. Over the past 16 years researchers have developed an extensive longitudinal database of demographic, social, economic, clinical and laboratory information about people over the age of 15 living in the AHRI population research area. During this time researchers have followed more than 160 000 people, of which 92 000 are still in the programme.
The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of more than 140,000 individuals (approximately 530,000 interviews) aged 50 or over from 28 European countries and Israel.
The Pennington/Louisiana NORC Biorepository is a collection of de-identified data from studies of human subjects conducted at Pennington Biomedical Research Center since 1980. The repository includes data from trials centered around obesity and nutrition and those funded by the National Institutes of Health, Department of Defense, United States Department of Agriculture, American Heart Association, American Diabetes Association and other government and non-profit organizations.
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.
The FREEBIRD website aims to facilitate data sharing in the area of injury and emergency research in a timely and responsible manner. It has been launched by providing open access to anonymised data on over 30,000 injured patients (the CRASH-1 and CRASH-2 trials).
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The Canadian Laboratory Initiative on Pediatric Reference Intervals (CALIPER) is a nation-wide health initiative to improve the diagnosis and monitoring of children and adolescents with medical concerns. Our main objective is to establish a comprehensive database of reference intervals for blood test results in children and adolescents. CALIPER is designed to fill the gaps that currently exist in accurately interpreting blood test results with the ultimate goal of improving the care of children at SickKids and other children’s hospitals around the world.
The DMC is designed to provide registered users with access to non-confidential petroleum exploration and production data from offshore Nova Scotia, subject to certain conditions. The DMC is housed in the CNSOPB's Geoscience Research Centre located in Dartmouth, Nova Scotia. Initially, the DMC will manage and distribute the following digital petroleum data: well data (i.e. logs and reports), seismic image files (e.g. TIFF, PDF), and production data. In the future the DMC could be expanded to include operational, safety, environmental, fisheries data, etc.
Country
From April 2020 to March 2023, the Covid-19 Immunity Task Force (CITF) supported 120 studies to generate knowledge about immunity to SARS-CoV-2. The subjects addressed by these studies include the extent of SARS-CoV-2 infection in Canada, the nature of immunity, vaccine effectiveness and safety, and the need for booster shots among different communities and priority populations in Canada. The CITF Databank was developed to further enhance the impact of CITF funded studies by allowing additional research using the data collected from CITF-supported studies. The CITF Databank centralizes and harmonizes individual-level data from CITF-funded studies that have met all ethical requirements to deposit data in the CITF Databank and have completed a data sharing agreement. The CITF Databank is an internationally unique resource for sharing epidemiological and laboratory data from studies about SARS-CoV-2 immunity in different populations. The types of research that are possible with data from the CITF Databank include observational epidemiological studies, mathematical modelling research, and comparative evaluation of surveillance and laboratory methods.
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One of the world’s largest banks of biological, psychosocial and clinical data on people suffering from mental health problems. The Signature center systematically collects biological, psychosocial and clinical indicators from patients admitted to the psychiatric emergency and at four points throughout their journey in the hospital: upon arrival to the emergency room (state of crisis), at the end of their hospital stay, as well as at the beginning and the end of outpatient treatment. For all hospital clients who agree to participate, blood specimens are collected for the purpose of measuring metabolic, genetic, toxic and infectious biomarkers, while saliva samples are collected to measure sex hormones and hair samples are collected to measure stress hormones. Questionnaire has been selected to cover important dimensional aspects of mental illness such as Behaviour and Cognition (Psychosis, Depression, Anxiety, Impulsiveness, Aggression, Suicide, Addiction, Sleep),Socio-demographic Profile (Spiritual beliefs, Social functioning, Childhood experiences, Demographic, Family background) and Medical Data (Medication, Diagnosis, Long-term health, RAMQ data). On 2016, May there are more than 1150 participants and 400 for the longitudinal Follow-Up
The Common Cold Project began in 2011 with the aim of creating, documenting, and archiving a database that combines final research data from 5 prospective viral-challenge studies that were conducted over the preceding 25 years: the British Cold Study (BCS); the three Pittsburgh Cold Studies (PCS1, PCS2, and PCS3); and the Pittsburgh Mind-Body Center Cold Study (PMBC). These unique studies assessed predictor (and hypothesized mediating) variables in healthy adults aged 18 to 55 years, experimentally exposed them to a virus that causes the common cold, and then monitored them for development of infection and signs and symptoms of illness.
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The CHILDdb platform provides access to data produced by the CHILD project, a longitudinal birth cohort study of children from pregnancy to 8 years of age, across four Canadian provinces. This study analyzes the participants' home environment including physical, chemical, viral, bacterial, nutritional and psychosocial exposures. This data is expected to further knowledge of the genetic and environmental determinants of atopic diseases including asthma, allergy, allergic rhinitis, and eczema. Researchers can create an account to view meta and aggregate data; access demographic data summaries based on selected variables; and submit a scientific Concept Proposal for approval to access individual-level study data.
Country
Sikt archives research data on people and society to make sure the data can be shared and is made available for reuse. We continuously enrich our data collections to provide a richer basis for research. Sikt’s main focus is quantitative data matrices on individuals, organisations, administrative, political, and geographical actors. The archive specialise in survey data, which undergoes extensive curation at the variable level and detailed metadata is produced and published in Norwegian and English.
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The Queen's Research Data Centre is a member of the Canadian Research Data Centre Network (CRDCN) that provides researchers with access to microdata 'masterfiles' from population and health surveys. Access to the RDC is limited to those with projects approved by Statistics Canada. Before applying to an RDC, you will have to show that your research cannot be conducted using Public Use Microdata Files (PUMFs) available through the Data Liberation Initiative (DLI). Access to DLI PUMFS at Queen's is available through the Social Science Data Centre, using the ODESI data portal.
LONI’s Image and Data Archive (IDA) is a secure data archiving system. The IDA uses a robust infrastructure to provide researchers with a flexible and simple interface for de-identifying, searching, retrieving, converting, and disseminating their biomedical data. With thousands of investigators across the globe and more than 21 million data downloads to data, the IDA guarantees reliability with a fault-tolerant network comprising multiple switches, routers, and Internet connections to prevent system failure.
INDI was formed as a next generation FCP effort. INDI aims to provide a model for the broader imaging community while simultaneously creating a public dataset capable of dwarfing those that most groups could obtain individually.
The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The online interface provides access to six datasets: MEDLINE papers, registered Clinical Trials, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, National Institutes of Health (NIH) funding, and National Endowment for the Humanities funding – over 26 million records in total.