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Found 22 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.
METLIN represents the largest MS/MS collection of data with the database generated at multiple collision energies and in positive and negative ionization modes. The data is generated on multiple instrument types including SCIEX, Agilent, Bruker and Waters QTOF mass spectrometers.
Project Achilles is a systematic effort aimed at identifying and cataloging genetic vulnerabilities across hundreds of genomically characterized cancer cell lines. The project uses genome-wide genetic perturbation reagents (shRNAs or Cas9/sgRNAs) to silence or knock-out individual genes and identify those genes that affect cell survival. Large-scale functional screening of cancer cell lines provides a complementary approach to those studies that aim to characterize the molecular alterations (e.g. mutations, copy number alterations) of primary tumors, such as The Cancer Genome Atlas (TCGA). The overall goal of the project is to identify cancer genetic dependencies and link them to molecular characteristics in order to prioritize targets for therapeutic development and identify the patient population that might benefit from such targets. Project Achilles data is hosted on the Cancer Dependency Map Portal (DepMap) where it has been harmonized with our genomics and cellular models data. You can access the latest and all past datasets here: https://depmap.org/portal/download/all/
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.
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.
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.
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/).
Country
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.
Country
<<<!!!<<< As detected 2017-11-24 TBNet India is no longer accessible >>>!!!>>> TBNet India is an initiative by the Department of Biotechnology, Govt of India with special focus on Indian contributions on research and various issues related to tuberculosis. Around 13 institutions across India are apart of this initiative. TB Net India focuses to gather clinical, epidemiological and molecular data and make it available to the biomedical community.
!!! >>> 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 USDA Agricultural Marketing Service (AMS) Cotton Program maintains a National Database (NDB) in Memphis, Tennessee for owner access to cotton classification data. The NDB is computerized telecommunications system which allows owners or authorized agents of owners to retrieve classing data from the current crop and/or the previous four crops. The NDB stores classing information from all 10 regional classing offices.
This database contains individual-based life history data that have been collected from wild primate populations by nine working group participants over a minimum of 19 years.
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 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.
Country
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.