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Found 40 result(s)
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The Canadian Institute for Health Information (CIHI) provides comparable and actionable data and information that are used to accelerate improvements in health care, health system performance and population health across Canada.
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MedEffect Canada’s Adverse Reaction Online Database contains information on suspected adverse reaction reports related to marketed health products that were submitted to Health Canada by consumers and health professionals, who submit reports voluntarily, as well as by Market Authorization Holders (manufacturers and distributors), who are required to submit reports according to the Next link will take you to another Web site Food and Drugs Regulations.
ICD serves as the international standard for diagnostic classification for all general epidemiological, many health management purposes and clinical use. The ICD's resources include the analysis of different population groups' general health situations, monitoring of the incidence and prevalence of diseases in relation to the characteristics of the individuals affected, reimbursement, resource allocation, quality, and guidelines. The records provide the basis for the compilation of national mortality and morbidity statistics, and enable the storage and retrieval of diagnostic information for clinical epidemiological and quality purposes.
RIVMdata is a metadata catalog. This catalog is filled with the metadata of RIVM datasets. ISO 19115 and DCAT standards are used as the metadata standards. The catalog consists of an internal site, which is only accessible to RIVM employees, and an external site, in which the metadata is accessible to the general public.
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The purpose of the Biobank is to accelerate future research projects and build health monitoring opportunities on a nationally-representative sample of Canadians. The Biobank receives samples from surveys like CHMS or CCAHS that collect dried blood spot, blood, urine, and saliva samples from consenting participants. These samples are stored in a secure location for future health studies. To obtain approval for the use of these samples, research projects undergo a thorough scientific, ethical, and security review process.
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.
International Research Institute for Climate and Society (IRI) research focuses on climate, environmental monitoring, agriculture, health, water, and economic sectors in Africa, Asia and Pacific, and Latin America and Caribbean. The IRI data library is a freely accessible data repository and analysis tool. IRI allows users to view, manipulate, and download climate-related data sets through a standard web browser.
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The Canadian Longitudinal Study on Aging (CLSA) is a large, national, long-term study of more than 50,000 individuals who were between the ages of 45 and 85 when recruited. These participants will be followed until 2033 or death. The aim of the CLSA is to find ways to help us live long and live well, and understand why some people age in healthy fashion while others do not.
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.
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The Biobanque québécoise de la COVID-19 (BQC19) is a pan-provincial initiative that collects, stores and shares data and blood samples from COVID-19 patients, both severe and non-severe cases and control cases, in an effort to respond effectively to the public health challenges posed by the pandemic. BQC19 believes that better understanding the disease will help society in returning to social activities and in preparing for future pandemics. It sees access to high-quality samples and data as essential in fulfilling research and works to bring about national and international research collaborations.
The Infectious Diseases Data Observatory (IDDO) assembles clinical, laboratory and epidemiological data on a collaborative platform to be shared with the research and humanitarian communities. The data are analysed to generate reliable evidence and innovative resources that enable research-driven responses to the major challenges of emerging and neglected infections. Access is available to individual patient data held for malaria and Ebola virus disease. Resources for visceral leishmaniasis, schistosomiasis and soil transmitted helminths, Chagas disease and COVID-19 are under development. IDDO contains the following repositories : COVID-19 Data Platform, Chagas Data Platform, Schistosomiasis & Soil Transmitted Helminths Data Platform, Visceral Leishmaniasis Data Platform, Ebola Data Platform, WorldWide Antimalarial Resistance Network (WWARN)
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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
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Research Data Centres offer a secure access to detailed microdata from Statistics Canada's surveys, and to Canadian censuses' data, as well as to an increasing number of administrative data sets. The search engine was designed to help you find out more easily which dataset among all the surveys available in the RDCs best suits your research needs.
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Gambling Research Exchange Ontario (GREO) is a knowledge translation and exchange organization that aims to eliminate harm from gambling. Our goal is to support evidence-informed decision making in responsible gambling policies, standards and practices. In line with this mandate, datasets curated in this archive relate to gambling and reducing gambling related harms.
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Initiated in 1989 and established in 2014, the Luxembourg Institute of Socio-Economic Research (LISER) is a public research institute located in Luxembourg under the supervision of the Ministry of Higher Education and Research. Integrated into a unified legal framework (law of 3 December 2014) LISER’s missions are to undertake both fundamental and applied research in social sciences that aim to advance knowledge, support public policy both at the national and European level and inform society. LISER contributes to the advancement of scientific knowledge in social and economic matters across the activities of its three research departments "Living Conditions", "Labour Market" and "Urban Development and Mobility". In parallel, the institute aligns itself with national and European priorities and fosters interdisciplinarity by focusing its research work on three priority research programmes: “Crossing Borders”, "Health and Health Systems" and "Digital Transformation". LISER hosts two complementary infrastructures, key drivers of its research development and excellence. - The Data Centre, which consists of two pillars, the data collection capability (direct and indirect data collection), and the data archiving and data management capability. - The Behavioural and Experimental Economics dedicated to investigating human decision-making by means of experiments performed in controlled environments. Its experimental approach contributes to improving the understanding of human behaviour in a large variety of socioeconomic contexts. LISER aims to be an internationally recognized socio-economic research institute specializing in the analysis of societal changes. Through its inter-and-multidisciplinary research, it makes a proactive and targeted contribution to the sustainable and inclusive development of societies at the national and international levels.
The WorldWide Antimalarial Resistance Network (WWARN) is a collaborative platform generating innovative resources and reliable evidence to inform the malaria community on the factors affecting the efficacy of antimalarial medicines. Access to data is provided through diverse Tools and Resources: WWARN Explorer, Molecular Surveyor K13 Methodology, Molecular Surveyor pfmdr1 & pfcrt, Molecular Surveyor dhfr & dhps.
Public Opinion in the European Union. Our surveys address major topics concerning European citizenship. The Standard Eurobarometer was established in 1973. Since 1973, the European Commission has been monitoring the evolution of public opinion in the Member States, thus helping the preparation of texts, decision-making and the evaluation of its work. Our surveys and studies address major topics concerning European citizenship: enlargement, social situation, health, culture, information technology, environment, the Euro, defence, etc. Each survey consists of approximately 1000 face-to-face interviews per country. Reports are published twice yearly. Reproduction is authorised, except for commercial purposes, provided the source is acknowledged. Special Eurobarometer reports are based on in-depth thematic studies carried out for various services of the European Commission or other EU Institutions and integrated in the Standard Eurobarometer's polling waves. Reproduction is authorised, except for commercial purposes, provided the source is acknowledged. Flash Eurobarometers are ad hoc thematic telephone interviews conducted at the request of any service of the European Commission. Flash surveys enable the Commission to obtain results relatively quickly and to focus on specific target groups, as and when required. Reproduction is authorised, except for commercial purposes, provided the source is acknowledged. The qualitative studies investigate in-depth the motivations, feelings and reactions of selected social groups towards a given subject or concept, by listening to and analysing their way of expressing themselves in discussion groups or with non-directive interviews.
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The Research Data Centre (FDZ-RV) was set-up in 2004 as an integral part of the German Federal Pension Insurance (Deutsche Rentenversicherung). Since then, the Research Data Centre produced several cross-sectional and longitudinal datasets, also called Scientific Use Files (SUF), available to researchers interested in issues of retirement, disability and rehabilitation. The datasets are released on an annual basis. The Scientific Use Files are subsamples drawn from the pool of individuals who are insured in the Federal Pension Insurance. The information provided in the original datasets is necessary to administer the beneficiaries of the pension insurance.