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Found 9 result(s)
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This website aggregates several services that provide access to data of the INTEGRAL Mission. ESA's INTErnational Gamma-Ray Astrophysics Laboratory is detecting some of the most energetic radiation that comes from space. It is the most sensitive gamma-ray observatory ever launched. INTEGRAL is an ESA mission in cooperation with Russia and the United States
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  • institutional
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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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LSHTM Data Compass is a curated digital repository of research outputs that have been produced by staff and students at the London School of Hygiene & Tropical Medicine and their collaborators. It is used to share outputs intended for reuse, including: qualitative and quantitative data, software code and scripts, search strategies, and data collection tools.
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<<<!!!<<< The data of this repository is also available at https://www.re3data.org/repository/r3d100014377. >>>!!!>>> The project analyzes educational processes in Germany from early childhood to late adulthood. The National Educational Panel Study (NEPS) has been set up to find out more about the acquisition of education in Germany, to plot the consequences of education for individual biographies, and to describe central educational processes and trajectories across the entire life span. Such an interdisciplinary consortium of research institutes, researcher groups, and research. personalities has been assembled in Bamberg. In addition, the competencies and experiences with longitudinal research available at numerous other locations have been networked to form a cluster of excellence.
Repository type(s)
  • institutional
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Yoda is a data repository built by Utrecht University and hosted by SURF for the Vrije Universiteit Amsterdam. Yoda can store and share all kinds of scientific research data in a safe way (encrypted, stored in multiple geo locations). Yoda takes care of publishing research data with its metadata as datasets and making them findable for different harvesters. Yoda, short for Your data, is an integrated digital environment to support all kind of researchers from different backgrounds during and after their research. Yoda is based on open source software iRODS. During the development of the key features the most important aim was to make daily life of researchers more easy as far as data management and the requirements of funders are concerned. Yoda publishes data packages via DataCite. Datacite Commons can be used to find data packages: https://commons.datacite.org/doi.org?query=client.uid:delft.vudata
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The Canadian VirusSeq Data Portal (CVDP) is an open-access data portal funded by Genome Canada. It is intended to facilitate access to Canadian SARS-CoV-2 sequences and associated non-sensitive metadata adhering to the FAIR Data principles. Limited contextual metadata and viral genome sequences can be shared among Canadian public health labs, researchers and other groups interested in accessing the data for surveillance, research, and innovation purposes. The CVDP will harmonize, validate, and automate submission to international databases and enable the creation of real-time dashboards that summarize the Canadian data contributions while facilitating exploration and access. Sequences or metadata submitted to the CVDP may not include data that could reveal the personal identity of the source. Its is part of Canadian COVID Genomics Network (CanCOGeN).
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The MDR harvests metadata on data objects from a variety of sources within clinical research (e.g. trial registries, data repositories) and brings that together in a single searchable portal. The metadata is concerned with discoverability, access and provenance of the data objects (which because the data may be sensitive will often be available under a controlled access regime). At the moment (01/2021) the MDR obtains study data from: Clinical Trials.gov (CTG), The European Clinical Trials Registry (EUCTR), ISRCTN, The WHO ICTRP
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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.
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ArkeoGIS is a unified scientific data publishing platform. It is a multilingual Geographic Information System (GIS), initially developed in order to mutualize archaeological and paleoenvironmental data of the Rhine Valley. Today, it allows the pooling of spatialized scientific data concerning the past, from prehistory to the present day. The databases come from the work of institutional researchers, doctoral students, master students, private companies and archaeological services. They are stored on the TGIR Huma-Num service grid and archived as part of the Huma-Num/CINES long-term archiving service. Because of their sensitive nature, which could lead to the looting of archaeological deposits, access to the tool is reserved to archaeological professionals, from research institutions or non-profit organizations. Each user can query online all or part of the available databases and export the results of his query to other tools.