Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

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 29 result(s)
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.
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.
ForestPlots.net is a web-accessible secure repository for forest plot inventories in South America, Africa and Asia. The database includes plot geographical information; location, taxonomic information and diameter measurements of trees inside each plot; and participants in plot establishment and re-measurement, including principal investigators, field assistants, students.
All ADNI data are shared without embargo through the LONI Image and Data Archive (IDA), a secure research data repository. Interested scientists may obtain access to ADNI imaging, clinical, genomic, and biomarker data for the purposes of scientific investigation, teaching, or planning clinical research studies. "The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease (AD). ADNI researchers collect, validate and utilize data, including MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors of the disease. Study resources and data from the North American ADNI study are available through this website, including Alzheimer’s disease patients, mild cognitive impairment subjects, and elderly controls. "
The N3C Data Enclave is a secure portal containing a very large and extensive set of harmonized COVID-19 clinical electronic health record (EHR) data. The data can be accessed through a secure cloud Enclave hosted by NCATS and cannot be downloaded due to regulatory control. Broad access is available to investigators at institutions that sign a Data Use Agreements and via Data Use Requests by investigators. The N3C is a unique open, reproducible, transparent, collaborative team science initiative to leverage sensitive clinical data to expedite COVID-19 discoveries and improve health outcomes.
Yoda publishes research data on behalf of researchers that are affiliated with Utrecht University, its research institutes and consortia where it acts as a coordinating body. Data packages are not limited to a particular field of research or license. Yoda publishes data packages via Datacite. To find data publications use: https://public.yoda.uu.nl/, or the Datacite search engine: https://commons.datacite.org/doi.org?query=client.uid:delft.uu
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.
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
CINES is the French national long-term preservation service provider for Higher Education and Research: more than 20 institutions (universities, librairies, labs) archive their digital heritage at CINES so that it's preserved over time in a secure, dedicated environment. This includes documents such as PhD theses or publications, digitized ancient/rare books, satellite imagery, 3D/vidéos/image galleries, datasets, etc.
ALSPAC is a longitudinal birth cohort study which enrolled pregnant women who were resident in one of three Bristol-based health districts in the former County of Avon with an expected delivery date between 1st April 1991 and 31st December 1992. Around 14,000 pregnant women were initially recruited. Detailed information has been collected on these women, their partners and subsequent children using self-completion questionnaires, data extraction from medical notes, linkage to routine information systems and from hands-on research clinics. Additional cohorts of participants have since been enrolled in their own right including fathers, siblings, children of the children and grandparents of the children. Ethical approval for the study was obtained from the ALSPAC Ethics and Law Committee (IRB00003312) and Local Research Ethics.
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.
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.
So.Da.Net network, following the Social Data Bank (SDB) of the National Centre for Social Research (EKKE) that pre-existed, in a time frame of five years has been linked and closely collaborated with the european data archives. EKKE through SDB has participated to the European Consortium of Social Science Data Archives (CESSDA ERIC) since 2000. The national research network Sodanet_GR has been formed in 2012 and is consisted of the following 7 organisations: 1) National Centre for Social Research (EKKE) – Social Data Bank 2) University of the Aegean – Department of Sociology 3) National & Kapodistrian University of Athens – Department of Political Science & Public Administration 4) Panteion University – Department of Political Science & History 5) University of Peloponnese – Department of Social & Educational Policy 6) Democritus University of Trace – Department of Social Administration & Political Science 7) University of Crete – Department of Sociology . The So.Da.Net network is the Greek research infrastructure for the social sciences. So.Da.Net supports multidisciplinary research and promotes the acquisition, exchange, processing as well as dissemination of data deriving from and related to social science research.
Country
The "Database for Spoken German (DGD)" is a corpus management system in the program area Oral Corpora of the Institute for German Language (IDS). It has been online since the beginning of 2012 and since mid-2014 replaces the spoken German database, which was developed in the "Deutsches Spracharchiv (DSAv)" of the IDS. After single registration, the DGD offers external users a web-based access to selected parts of the collection of the "Archive Spoken German (AGD)" for use in research and teaching. The selection of the data for external use depends on the consent of the respective data provider, who in turn must have the appropriate usage and exploitation rights. Also relevant to the selection are certain protection needs of the archive. The Archive for Spoken German (AGD) collects and archives data of spoken German in interactions (conversation corpora) and data of domestic and non-domestic varieties of German (variation corpora). Currently, the AGD hosts around 50 corpora comprising more than 15000 audio and 500 video recordings amounting to around 5000 hours of recorded material with more than 7000 transcripts. With the Research and Teaching Corpus of Spoken German (FOLK) the AGD is also compiling an extensive German conversation corpus of its own. !!! Access to data of Datenbank Gesprochenes Deutsch (DGD) is also provided by: IDS Repository https://www.re3data.org/repository/r3d100010382 !!!
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.
<<<!!!<<<The IGETS data base at GFZ Potsdam http://www.re3data.org/repository/r3d100010300 continues the activities of the International Center for Earth Tides (ICET), in particular, in collecting, archiving and distributing Earth tide records from long series of gravimeters, tiltmeters, strainmeters and other geodynamic sensors. >>>!!!>>> The ICET Data Bank contains results from 360 tidal gravity stations: hourly values, main tidal waves obtained by least squares analyses, residual vectors, oceanic attraction and loading vectors. The Data Bank contains also data from tiltmeters and extensometers. ICET is responsible for the Information System and Data Center of the Global Geodynamic Project (GGP). The tasks ascribed to ICET are : to collect all available measurements of Earth tides (which is its task as World Data Centre C), to evaluate these data by convenient methods of analysis in order to reduce the very large amount of measurements to a limited number of parameters which should contain all the desired and needed geophysical information, to compare the data from different instruments and different stations distributed all over the world, evaluate their precision and accuracy from the point of view of internal errors as well as external errors, to help to solve the basic problem of calibrations and to organize reference stations or build reference calibration devices, to fill gaps in information or data as far as feasible, to build a data bank allowing immediate and easy comparison of Earth tide parameters with different Earth models and other geodetical and geophysical parameters like geographical position, Bouguer anomaly, crustal thickness and age, heat flow, ... to ensure a broad diffusion of the results and information to all interested laboratories and individual scientists.
Country
WHIP is a database of individual work histories, based on Inps administrative archives. The reference population is made up by all the people – Italian and foreign – who have worked in Italy even only for only a part of their working career. A large representative sample has been extracted from this population: in the standard file the sampling coefficient is about 1: 180, for a dynamic population of about 370,000 people (figures will be doubled in the full edition). For each of these people the main episodes of their working careers are observed. The complete list of observations includes: private employee working contracts, atypical contracts, self-employment activities as artisan, trader and some activities as freelancer, retirement spells, as well as non-working spells in which the individual received social benefits, like unemployment subsidies or mobility benefits. The workers for whom activity is not observed in WHIP are those who worked in the public sector or as freelancers (lawyers or notaries) – who have an autonomous security fund. The WHIP section concerning employee contracts is a Linked Employer Employee Database: in addition to the data about the contract, thanks to a linkage with the Inps Firm Observatory, data concerning the firm in which the worker is employed is also available.
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.
Country
The National Forest Inventory (NFI) is a collaborative effort involving federal, provincial and territorial government agencies. They monitor a network of twenty thousand sampling points across Canada on an ongoing basis to provide information on the state of Canada's forests and a continuous record of forest change. They provide data and products to forest science researchers, forest policy decision-makers and interested stakeholders.
Country
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.
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.
B2SAFE is a robust, safe and highly available service which allows community and departmental repositories to implement data management policies on their research data across multiple administrative domains in a trustworthy manner. A solution to: provide an abstraction layer which virtualizes large-scale data resources, guard against data loss in long-term archiving and preservation, optimize access for users from different regions, bring data closer to powerful computers for compute-intensive analysis
The ACEnano Knowledge Infrastructure facilitates access and sharing of methodology applied in nanosafety, starting with nanomaterials characterisation protocols developed or optimised within the ACEnano project.