Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Data access

Data access restrictions

Database access

Database access restrictions

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
Found 28 result(s)
Country
The Population Health Research Data Repository housed at MCHP is a comprehensive collection of administrative, registry, survey, and other data primarily relating to residents of Manitoba. It was developed to describe and explain patterns of health care and profiles of health and illness, facilitating inter-sectoral research in areas such as health care, education, and social services.
The data in the U of M’s Clinical Data Repository comes from the electronic health records (EHRs) of more than 2 million patients seen at 8 hospitals and more than 40 clinics. For each patient, data is available regarding the patient's demographics (age, gender, language, etc.), medical history, problem list, allergies, immunizations, outpatient vitals, diagnoses, procedures, medications, lab tests, visit locations, providers, provider specialties, and more.
Country
KiGGS is a long-term study conducted by the Robert Koch Institute (RKI) on the health of children and adolescents in Germany. The study repeatedly supplies data, representative of the country as a whole, on the health of under 18-year-olds. In addition, the children and adolescents of the first KiGGS study are repeatedly invited, and they continue to be monitored right into their adulthood.
Born in Bradford is one of the biggest and most important medical research studies undertaken in the UK. The project started in 2007 and is looking to answer questions about our health by tracking the lives of 13,500 babies and their families and will provide information for studies across the UK and around the world. The aim of Born in Bradford is to find out more about the causes of childhood illness by studying children from all cultures and backgrounds as their lives unfold.
The Twenty-07 Study was set up in 1986 in order to investigate the reasons for differences in health by socio-economic circumstances, gender, area of residence, age, ethnic group, and family type. 4510 people are being followed for 20 years. The initial wave of data collection took place in 1987/8, when respondents were aged 15, 35 and 55. The final wave of data collection took place in 2007/08 when respondents were aged 35, 55 and 75. In this way the Twenty-07 Study provides us with unique opportunities to investigate both the changes in people's lives over 20 years and how they affect their health, and the differences in people's experiences at the same ages 20 years apart, and how these have different effects on their health.
!!! >>> merged with https://www.re3data.org/repository/r3d100012653 <<< !!! RDoCdb is an informatics platform for the sharing of human subjects data generated by investigators as part of the NIMH's Research Domain Criteria initiative, and to support this initiative's aims. It also accepts and shares appropriate data related to mental health from other sources.
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 Growing Up Today Study is a collaborative study between clinicians, researchers, and thousands of participants across the US and beyond. The aim of this study is to gain a deeper understanding of the factors that affect health throughout life. Together we are working to building one of the most powerful resources for fighting cancer, obesity, heart disease, depression, and so much more.
Country
The SHIP study´s main aims include the investigation of health in all its aspects and complexity involving the collection and assessment of data relevant to the prevalence and incidence of common, population-relevant diseases and their risk factors.
Country
The team have established the CardiacAI Data Repository that brings large amounts of Australian healthcare data together in a secure environment with strict conditions for use of these data with an appropriate level of oversight of research activities. The CardiacAI Data Repository collects de-identified EMR data about cardiovascular patients who are admitted to a group of urban and regional hospitals in NSW and links this with state-wide hospital and emergency deparment visit and mortality data and mobile-health remote monitoring data.
The Swiss HIV Cohort Study (SHCS), established in 1988, is a systematic longitudinal study enrolling HIV-infected individuals in Switzerland. It is a collaboration of all Swiss University Hospital infectious disease outpatient clinics, two large cantonal hospitals, all with affiliated laboratories, and with affiliated smaller hospitals and private physicians carrying for HIV patients. The Swiss Mother and Child HIV Cohort Study (MoCHiV) is integrated into the SHCS. It aims at preventing mother to child transmission and enrolls HIV-infected pregnant women and their children. The SHCS involves practically all researchers being active in patient-oriented HIV research in Switzerland. The clinics can delegate recruitment of participants and follow-up visits to other outpatient clinics or to specialized private physicians, provided that the requirements of the protocol can be entirely fulfilled and controlled. The laboratories can contract other laboratories for some of the analyses.
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 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
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
Content type(s)
The Visible Human Project® is an outgrowth of the NLM's 1986 Long-Range Plan. It is the creation of complete, anatomically detailed, three-dimensional representations of the normal male and female human bodies. Acquisition of transverse CT, MR and cryosection images of representative male and female cadavers has been completed. The male was sectioned at one millimeter intervals, the female at one-third of a millimeter intervals.
Country
It is a platform (designed and developed by the National Informatics Centre (NIC), Government of India) for supporting Open Data initiative of Surat Municipal Corporation, intended to publish government datasets for public use. The portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform, thus gives avenues for resuing datasets of the City in different perspective. This Portal has numerious modules; (a) Data Management System (DMS) for contributing data catalogs by various departments for making those available on the front end website after a due approval process through a defined workflow; (b) Content Management System (CMS) for managing and updating various functionalities and content types of Open Government Data Portal of Surat City; (c) Visitor Relationship Management (VRM) for collating and disseminating viewer feedback on various data catalogs; and (d) Communities module for community users to interact and share their zeal and views with others, who share common interests as that of theirs.
Country
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.
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.
In 2003, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) at NIH established Data, Biosample, and Genetic Repositories to increase the impact of current and previously funded NIDDK studies by making their data and biospecimens available to the broader scientific community. These Repositories enable scientists not involved in the original study to test new hypotheses without any new data or biospecimen collection, and they provide the opportunity to pool data across several studies to increase the power of statistical analyses. In addition, most NIDDK-funded studies are collecting genetic biospecimens and carrying out high-throughput genotyping making it possible for other scientists to use Repository resources to match genotypes to phenotypes and to perform informative genetic analyses.