How to cite this record FAIRsharing.org: Schema.org; Schema.org; DOI: https://doi.org/10.25504/FAIRsharing.hzdzq8; Last edited: Jan. 8, 2019, 1:39 p.m.; Last accessed: Jun 26 2019 11:02 p.m.
Record added: June 10, 2015, 11:38 a.m.
Record updated: July 15, 2018, 1:45 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.hzdzq8' by 'The FAIRsharing Team' at 13:45, 15 Jul 2018 (approved): 'shortname' has been modified: Before: Schema.org After: There was a failure to add databases to this standard. Offending items: ra
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Edits to 'https://fairsharing.org/FAIRsharing.hzdzq8' by 'The FAIRsharing Team' at 14:35, 08 Feb 2018 (approved): 'type' has been modified: Before: terminology artifact After: model/format There was a failure to add databases to this standard. Offending items: ra
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figshare is a repository where users can make all of their research outputs available in a citable, shareable and discoverable manner.
The European Genome-phenome Archive
The European Genome-phenome Archive (EGA) allows you to explore datasets from genomic studies, provided by a range of data providers. Access to datasets must be approved by the specified Data Access Committee (DAC).
Reactome - a curated knowledgebase of biological pathways
The cornerstone of Reactome is a freely available, open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways. Examples of biological pathways in Reactome include classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. Inferred orthologous reactions are available for 17 non-human species including mouse, rat, chicken, puffer fish, worm, fly, yeast, rice, and Arabidopsis.
DataDryad.org is a nonprofit, curated general-purpose repository that makes the data underlying scientific publications discoverable, freely reusable, and citable. Dryad has integrated data submission for a growing list of journals; submission of data from other publications is also welcome.
The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.
PANGAEA - Data Publisher for Earth and Environmental Science
The information system PANGAEA is operated as an Open Access library aimed at archiving, publishing and distributing georeferenced data from earth system research. PANGAEA is a member of the ICSU World Data System (WDS).
Plant Genomics and Phenomics Research Data Repository
This repository provides several plant genomic and phenotypic datasets resulting from IPK and German Plant Phenotyping Network (DPPN) research activities. It was established in January 2015. The background of the study is in plant genetic resources, in particular the association of genotypes and phenotypes. This archive aims to provide data from the "system plant" - from the root to bloom and seed, as well from sequence analysis to systems biology.Ge
Seanoe (SEA scieNtific Open data Edition) is a publisher of scientific data in the field of marine sciences. It is operated by Sismer within the framework of the Pôle Océan. Data published by SEANOE are available free. They can be used in accordance with the terms of the Creative Commons license selected by the author of data. Seance contributes to Open Access / Open Science movement for a free access for everyone to all scientific data financed by public funds for the benefit of research. An embargo limited to 2 years on a set of data is possible; for example to restrict access to data of a publication under scientific review. Each data set published by SEANOE has a DOI which enables it to be cited in a publication in a reliable and sustainable way. The long-term preservation of data filed in SEANOE is ensured by Ifremer infrastructure.
DataMed is a prototype biomedical data search engine. Its goal is to discover data sets across data repositories or data aggregators. In the future it will allow searching outside these boundaries. DataMed supports the NIH-endorsed FAIR principles of Findability, Accessibility, Interoperability and Reusability of datasets with current functionality assisting in finding datasets and providing access information about them. The data repositories covered in this initial release have been selected by the bioCADDIE team and represent only a small sample of biomedical data. Many highly relevant data sets have not yet been indexed. Please provide suggestions on data repositories that DataMed should cover. The translation of user queries into structured data used in the search is being refined. Advanced search allows users to structure their queries. Some DataMed search features are not yet available for all data. Please provide feedback about the quality of search results. DataMed indexes the core metadata available for most datasets, but it offers enhanced search functions when repositories provide additional metadata. The Data Tag Suite (DATS) metadata specification has evolved with input from the community and will include a schema.org annotated serialization. You can use the web interface and provide us feedback here about your search experience. This is a prototype in development and your valuable suggestions and comments will help us to make the system better.
Generalist research data repository built and developed by OpenAIRE and CERN, to ensure that everyone can join in Open Science.
Oak Ridge National Laboratory, Distributed Active Archive Centre for Biogeochemical Dynamics
The ORNL DAAC mission is to assemble, distribute, and provide data services for a comprehensive archive of terrestrial biogeochemistry and ecological dynamics observations and models to facilitate research, education, and decision-making in support of NASA’s Earth science.
Harvard Dataverse is a research data repository running on the open source web application Dataverse. Harvard Dataverse is fully open to the public, and allows upload and browsing of data from all fields of research. Dataverse allows users to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others, and allows you to replicate others' work more easily. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility.
Mendeley Data is a multidisciplinary, free-to-use open research data repository, where you can upload and share data files up to 10GB so they are archived, preserved and findable for the long-term. To ensure that research data stands the test of time, each version of a dataset is given a unique DOI, and dark archived with DANS (Data archiving and Networking Services), ensuring that every dataset and citation will be valid in perpetuity.
Inter-university Consortium for Political and Social Research
ICPSR is a data archive of behavioral and social science research data. An international consortium of more than 750 academic institutions and research organizations, ICPSR provides leadership and training in data access, curation, and methods of analysis for the social science research community.
World Data Center for Climate at DRKZ
As part of an international effort to set up domain specific data portals as a service for the scientific community, climate data are collected, stored at DKRZ and disseminated through the World Data Center Climate (WDCC). The WDCC focuses on climate and climate related data products, specifically those resulting from climate simulations. Archival of raw data from satellites or climate models is not desired. Metadata and research data in WDCC is curated in collaboration with the data providers. Data in WDCC is citable and can be directly integrated into scientific publications.
High Energy Physics Data Repository
The Durham High Energy Physics Database (HEPData) has been built up over the past four decades as a unique open-access repository for scattering data from experimental particle physics. It currently comprises the data points from plots and tables related to several thousand publications including those from the Large Hadron Collider (LHC). HEPData is funded by a grant from the UK STFC and is based at the IPPP at Durham University.
Qualitative Data Repository
The Qualitative Data Repository (QDR) is a dedicated archive for storing and sharing digital data (and accompanying documentation) generated or collected through qualitative and multi-method research in the social sciences. QDR provides search tools to facilitate the discovery of data, and also serves as a portal to material beyond its own holdings, with links to U.S. and international archives. The repository’s initial emphasis is on political science. Four beliefs underpin the repository's mission: data that can be shared and reused should be; evidence-based claims should be made transparently; teaching is enriched by the use of well-documented data; and rigorous social science requires common understandings of its research methods.
Omics Discovery Index
The Omics Discovery Index (OmicsDI) provides dataset discovery across a heterogeneous, distributed group of Transcriptomics, Genomics, Proteomics and Metabolomics data resources spanning eight repositories in three continents and six organisations, including both open and controlled access data resources. The resource provides a short description of every dataset: accession, description, sample/data protocols biological evidences, publication, etc. Based on these metadata, OmicsDI provides extensive search capabilities, as well as identification of related datasets by metadata and data content where possible. In particular, OmicsDI identifies groups of related, multi-omics datasets across repositories by shared identifiers.
FAIRsharing is a FAIR-supporting resource that provides an informative and educational registry on data standards, databases, repositories and policy, alongside search and visualization tools and services that interoperate with other FAIR-enabling resources. FAIRsharing guides consumers to discover, select and use standards, databases, repositories and policy with confidence, and producers to make their resources more discoverable, more widely adopted and cited. Each record in FAIRsharing is curated in collaboration with the maintainers of the resource themselves, ensuring that the metadata in the FAIRsharing registry is accurate and timely. Every record is manually reviewed at least once a year. Records can be collated into collections, based on a project, society or organisation, or Recommendations, where they are collated around a policy, such as a journal or funder data policy.
4TU.Centre for Research Data
4TU.Centre for Research Data (short: 4TU.ResearchData) was started in 2008 as an initiative of the three technical universities in the Netherlands – Delft University of Technology, Eindhoven University of Technology, and the University of Twente. The ambition was, and still is, to create and maintain a national state-of-the-art facility for storing and preserving science and engineering research data and for making those data openly accessible. The data archive has been fully operational since 2010 and it has evolved to become a trusted and certified repository for science and engineering. By publishing data-sets via 4TU.ResearchData you will make your data FAIR. Every single data-set is assigned a DOI and metadata (F), the archive is accessible 24/7 online worldwide via https protocol (A), the data-files adhere to community and preservation standards (I), and a readme-file and usage license is provided for every data-set (R). This archive is accessible and usable for any researcher from the science and engineering disciplines. Please visit our website for more details.
Climate Data Guide
The Climate Data Guide provides concise and reliable information on the strengths and limitations of the key observational data sets, tools and methods used to evaluate Earth system models and to understand the climate system. Citable expert commentaries are authored by experienced data users and developers, enabling scientists to multiply the impacts of their work and the diverse user community to access and understand the essential data. The Climate Data Guide was named an exemplary community resource by the 2012 U.S. National Academies' report, A National Strategy for Advancing Climate Modeling, and is an element of the strategic plan for NCAR's Climate and Global Dynamics Laboratory. NCAR, the National Center for Atmospheric Research, is located in Boulder, Colorado and is widely respected as a leading institution in the atmospheric and related sciences.
Dash is an open source, community driven project that takes a unique approach to data publication and digital preservation. Dash focuses on search, presentation, and discovery and delegates the responsibility for the data preservation function to the underlying repository with which it is integrated. Dash is based at the University of California Curation Center (UC3), a program at California Digital Library (CDL) that aims to develop interdisciplinary research data infrastructure. Dash employs a multi-tenancy user interface providing partners with extensive opportunities for local branding and customization, use of existing campus login credentials, and, importantly, offering the Dash service under a tenant-specific URL, an important consideration helping to drive adoption. We welcome collaborations with other organizations wishing to provide a simple, intuitive data publication service on top of more cumbersome legacy systems.
DataCite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data. Their goal is to help the research community locate, identify, and cite research data with confidence. They support the creation and allocation of DOIs and accompanying metadata. They provide services that support the enhanced search and discovery of research content. They also promote data citation and advocacy through community-building efforts and responsive communication and outreach materials. DataCite gathers metadata for each DOI assigned to an object. The metadata is used for a large index of research data that can be queried directly to find data, obtain stats and explore connections. All the metadata is free to access and review. To showcase and expose the metadata gathered, DataCite provides an integrated search interface, where it is possible to search, filter and extract all the details from a collection of millions of records.
Publications at Bielefeld University
Publications at Bielefeld University (PUB) is the institutional repository of Bielefeld University and preserves the scholarly output of its members. Operated by Bielefeld University Library, PUB provides open access to Bielefeld's scholarly publications and research data in accordance with Bielefeld University's open access and research data resolutions. PUB also collects digital theses. With more than 50,000 publications, PUB is the most comprehensive bibliography on scholarly activities at Bielefeld University. Faculty and researchers self-archive full texts when possible. As a plus, PUB cross-references leading indexing services and disciplinary archives such as the Web of Science, CrossRef, PubMed, Europe PubMed Central, arXiv or INSPIRE HEP.
Texas Data Repository
The Texas Data Repository is a platform for publishing and archiving datasets (and other data products) created by faculty, staff, and students at Texas higher education institutions. The repository is built in an open-source application called Dataverse, developed and used by Harvard University. The repository is hosted by the Texas Digital Library, a consortium of academic libraries in Texas with a proven history of providing shared technology services that support secure, reliable access to digital collections of research and scholarship. Researchers deposit data within the TDR to, for example, comply with funding requirements and ensure reliable, managed access for data.
da|ra is the registration agency for social science and economic data jointly run by GESIS and ZBW. In keeping with the ideals of good scientific practice there is a demand for open access to existing primary data so as to not only have the final research results but also be able to reconstruct the entire research process. GESIS and ZBW therefore offer a registration service for social and economic research data. This infrastructure lays the foundation for long-term, persistent identification, storage, localization and reliable citation of research data.
DataverseNL provides online storage, sharing and registration of research data, during the research period and up to the prescribed term of ten years after its completion. DataverseNL is a shared service provided by participating institutions and DANS. DataverseNL uses the Dataverse software developed by Harvard University, which is used worldwide.
Image Attribution Framework Development Repository
The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.
Kaggle Datasets is a public open data platform which combines data, users, discussions, and software. Datasets can be searched, bookmarked and explored via Kernels and discussions. All types of data are allowed. Individual users and organizations can register. Datasets can be published either privately or shared publicly.
Ag Data Commons
The Ag Data Commons is a data access system maintained by the US Department of Agriculture's (USDA) National Agricultural Library. It uses a customized version of open-source DKAN software, which is compliant with U.S. Project Open Data standards for federal agencies providing access to publicly-funded data. Ag Data Commons holds data files managed directly by NAL and also links to datasets and resources located on other websites. The Ag Data Commons provides access to a wide variety of open data relevant to agricultural research and related domains. These may include subjects such as agronomy, genomics, hydrology, soils, agro-ecosystems, sustainability science, and economic statistics. Data included in the Ag Data Commons is funded in whole or in part by USDA. Our goal is that Ag Data Commons will foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
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