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Found 35 result(s)
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NB-IRDT is expanding research potential through pseudonymised, linkable data sets. Our repository includes a growing collection to meet diverse research needs. We only host pseudonymous data in the NB-IRDT repository. NB-IRDT also offers public use data sets, which consist of de-identified data that is publicly accessible. All our data can be accessed in the NB-IRDT lab spaces.
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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.
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The RDSC provides researchers access to selected microdata from the Bundesbank's data records for independent and non-commercial scientific research projects on basis of the legal requirements. The RDSC is the mediator between the Bundesbank’s wide range of different micro data in various departments and – on the other side – researchers or analysts. In connection with this, the RDSC is responsible for the methodological improvement, the access of and the comprehensive documentation of the high-quality microdata. It also offers additional consultancy and support services to existing and prospective data users and satisfies data protection requirements. English version see: https://www.bundesbank.de/en/bundesbank/research/rdsc/research-data-and-service-centre-rdsc--869492
The National Trauma Data Bank® (NTDB) is the largest aggregation of trauma registry data ever assembled. The goal of the NTDB is to inform the medical community, the public, and decision makers about a wide variety of issues that characterize the current state of care for injured persons. Registry data that is collected from the NTDB is compiled annually and disseminated in the forms of hospital benchmark reports, data quality reports, and research data sets. Research data sets that can be used by researchers. To gain access to NTDB data, researchers must submit requests through our online application process
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 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.
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Fairdata IDA is a research data storage service that provides secure storage for research data. The Fairdata services are a group of nationally developed Finnish ICT services for managing research data, especially in the later phases of the research life cycle (sharing, publishing, and preserving). Development of research data management infrastructure has been identified as an important step in enabling implementation of the FAIR principles. The Fairdata services are funded by the Finnish Ministry of Education and Culture, and developed and maintained by CSC IT Center for Science. The services consist of the following service components: IDA – Research Data Storage; Etsin – Research Data Finder; Qvain – Research Dataset Metadata Tool; Metax – Metadata Warehouse; AVAA – Dynamic Data Publishing Platform and the Digital Preservation Service for Research Data (including management and packaging). The services also provide means for applying for and granting permits to use restricted access datasets. The service is offered free of charge for its users. The services are available to the research community in accordance with the applicable usage policy. Minedu offers access to research data storage service IDA to Finnish higher education institutions, state research institutes and projects funded by the Academy of Finland. Minedu may also grant separate access or storage capacity to the service. Finnish higher education institutions and research institutes may distribute IDA storage capacity to actors within the Finnish research system, within the limits of their usage shares. The service is intended for storing research data and materials related to it. The data stored in the service is available to all project users. The users mark their data to be persistently stored (“Frozen”) in the service. All project members may make the “Frozen” data and related metadata publicly accessible by using the other aforementioned Fairdata services. The data in the service is stored in Finland. IDA service stores the data stored by organisations projects continuously or until it’s transferred to digital preservation, provided that the Terms of Use are met. The owners of the data decide on the openness and usage policies for their own data. User organisations are offered support and guidance on using the service.
!!! >>> 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.
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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 Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB) is intended mainly to facilitate access to BA and IAB micro data for non-commercial empirical research using standardised and transparent access rules. The FDZ mediates between data producers and external users. We also control for compliance with data protection regulations.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, digitised content, archival records, or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. An automated connection to the ETH Data Archive in the background ensures the medium to long-term preservation of all publications and research data. Direct access to the ETH Data Archive is intended only for customers who need to deposit software source code within the framework of ETH transfer Software Registration. Open Source code packages and other content from legacy workflows can be accessed via ETH Library @ swisscovery (https://library.ethz.ch/en/).
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The University of Tasmania Research Data Portal (RDP) enables UTAS researchers to securely store and publish their datasets. Datasets published in RDP are publicly available through the Research Data Australia Search Portal (https://researchdata.edu.au/).
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Population Data BC (PopData) is a multi-university, data and education resource facilitating interdisciplinary research on the determinants of human health, well-being and development. Providing a range of services to researchers and data providers, PopData strives to ensure that researchers have timely access to the data and training they need to address research questions on population health. Research using these data informs policy-making and leads to healthier communities.
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
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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.
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The Wildlife Management Information System (WMIS) is the Government of Northwest Territories (GNWT) online, geo-referenced wildlife database. WMIS provides a central repository for government staff, industry, researchers and public to store and access standardized wildlife observation data to support the conservation and management of wild species and their habitat in the Northwest Territories (NWT).
WISER is a self-service platform for data of the Global Networks of Isotopes in Precipitation (GNIP) and Rivers (GNIR), hosted within the IAEA's repository for technical resources (NUCLEUS). GNIP in WISER currently contains over 130,000 records, and stable isotopes are current to the end of 2013, and will be updated as verified data comes in. Parts of the GNIR water isotope data is online as well (synoptic/time series), although we are still in process of verifying and completing GNIR data uploads and for other isotopic parameters over the next year. Check back occasionally for GNIR updates. Tritium data after 2009 is in the process of being updated in the next year. When accessing WISER through the URL https://nucleus.iaea.org/wiser, you will be forwarded to the NUCLEUS log-in page. After entering your user credentials and validation, you will be forwarded to the WISER landing page.
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.
The Virtual Research Environment (VRE) is an open-source data management platform that enables medical researchers to store, process and share data in compliance with the European Union (EU) General Data Protection Regulation (GDPR). The VRE addresses the present lack of digital research data infrastructures fulfilling the need for (a) data protection for sensitive data, (b) capability to process complex data such as radiologic imaging, (c) flexibility for creating own processing workflows, (d) access to high performance computing. The platform promotes FAIR data principles and reduces barriers to biomedical research and innovation. The VRE offers a web portal with graphical and command-line interfaces, segregated data zones and organizational measures for lawful data onboarding, isolated computing environments where large teams can collaboratively process sensitive data privately, analytics workbench tools for processing, analyzing, and visualizing large datasets, automated ingestion of hospital data sources, project-specific data warehouses for structured storage and retrieval, graph databases to capture and query ontology-based metadata, provenance tracking, version control, and support for automated data extraction and indexing. The VRE is based on a modular and extendable state-of-the art cloud computing framework, a RESTful API, open developer meetings, hackathons, and comprehensive documentation for users, developers, and administrators. The VRE with its concerted technical and organizational measures can be adopted by other research communities and thus facilitates the development of a co-evolving interoperable platform ecosystem with an active research community.
The PAIN Repository is a recently funded NIH initiative, which has two components: an archive for already collected imaging data (Archived Repository), and a repository for structural and functional brain images and metadata acquired prospectively using standardized acquisition parameters (Standardized Repository) in healthy control subjects and patients with different types of chronic pain. The PAIN Repository provides the infrastructure for storage of standardized resting state functional, diffusion tensor imaging and structural brain imaging data and associated biological, physiological and behavioral metadata from multiple scanning sites, and provides tools to facilitate analysis of the resulting comprehensive data sets.
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EMS is the BC Ministry of Environment's primary monitoring data repository. The system was designed to capture data covering physical/chemical and biological analyses performed on water, air, solid waste discharges and ambient monitoring sites throughout the province. It also contains related quality assurance data. Samples are collected by either ministry staff or permittees under the Environmental Management Act and then analyzed in public or private sector laboratories. The majority of such monitoring data is entered into EMS electronically via Electronic Data Transfer (EDT). EMS data is typically available in formatted hard copy reports or electronically in comma delimited (e.g., .csv) files as: Monitoring location-related data, Sample and results-related data. Direct access to EMS is restricted to ministry staff, however public access is available upon request through EMS Web Reporting.
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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.