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: Aug 05 2020 7:49 p.m.
Record added: June 10, 2015, 11:38 a.m.
Record updated: July 15, 2018, 1:45 p.m. by The FAIRsharing Team.
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figshare is a data publishing platform that is free for all researchers. Some of figshare’s core beliefs are: academic research outputs should be as open as possible, as closed as necessary; academic research outputs should never be behind a paywall; academic research outputs should be human and machine readable/query-able; academic infrastructure should be interchangeable; academic researchers should never have to put the same information into multiple systems at the same institution; identifiers for everything; and the impact of research is independent of where it is published and what type of output it is. figshare supports embargoing and managed access, and will embargo data while undergoing peer review. Metadata in figshare is licenced under is CC0. All files and metadata can be accessed from docs.figshare.com. figshare has also partnered with DuraSpace and Chronopolis to offer further assurances that public data will be archived under the stewardship of Chronopolis. In the highly unlikely event of multiple AWS S3 failures, figshare can restore public user content from Chronopolis. figshare is supported through Institutional, Funder, and Governmental service subscriptions.
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 15 non-human species including mouse, rat, chicken, zebrafish, worm, fly, and yeast.
Dryad is an open-source, community-led data curation, publishing, and preservation platform for CC0 publicly available research data. Dryad has a long-term data preservation strategy, and is a Core Trust Seal Certified Merritt repository with storage in US and EU at the San Diego Supercomputing Center, DANS, and Zenodo. While data is undergoing peer review, it is embargoed if the related journal requires / allows this. Dryad is an independent non-profit that works directly with: researchers to publish datasets utilising best practices for discovery and reuse; publishers to support the integration of data availability statements and data citations into their workflows; and institutions to enable scalable campus support for research data management best practices at low cost. Costs are covered by institutional, publisher, and funder members, otherwise a one-time fee of $120 for authors to cover cost of curation and preservation. Dryad also receives direct funder support through grants.
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
Sea scientific open data publication
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.
Zenodo is a generalist research data repository built and developed by OpenAIRE and CERN. It was developed to aid Open Science and is built on open source code. Zenodo helps researchers receive credit by making the research results citable and through OpenAIRE integrates them into existing reporting lines to funding agencies like the European Commission. Citation information is also passed to DataCite and onto the scholarly aggregators. Content is available publicly under any one of 400 open licences (from opendefinition.org and spdx.org). Restricted and Closed content is also supported. Free for researchers below 50 GB/dataset. Content is both online on disk and offline on tape as part of a long-term preservation policy. Zenodo supports managed access (with an access request workflow) as well as embargoing generally and during peer review. The base infrastructure of Zenodo is provided by CERN, a non-profit IGO. Projects are funded through grants.
Oak Ridge National Laboratory Distributed Active Archive Center
The Oak Ridge National Laboratory Distributed Active Archive Center (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. The ORNL DAAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs) that archive and distribute earth science data, managed by NASA's Earth Science Data and Information System Project (ESDIS), as part of the Earth Science Data Systems (ESDS) Program.
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, and is free for all researchers worldwide (up to 1 TB). Links to related grants, authors, software and research products are provided. Harvard Dataverse supports managed access (with an access request workflow) as well as embargoing generally and during peer review. Dataverse allows users to share, preserve, cite, explore, and analyse 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. The Harvard Database receives support from Harvard University, public and private grants, and an emergent consortium model.
Mendeley Data is a multidisciplinary, free-to-use open repository specialized for research data. Data files of up to 10GB can be uploaded and shared. Search more than 20+ million datasets indexed from 1000s of data repositories and collect and share datasets with the research community following the FAIR data principles. Links are available to related authors, software, grants and research. 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. Metadata is licensed CC0, and datasets are and will continue to be free access. Mendeley Data will shortly support managed access, and currently supports embargoing of data both generally and while undergoing peer review. It is funded by a subscription model for Academic & Government entities.
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. ICPSR is a CoreTrustSeal core certified repository and was a 2019 United States National Medal for Museum and Library Service recipient, the nation’s highest honor given to museums and libraries that make significant and exceptional contributions to their communities.
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.
Biological and Chemical Oceanography Data Management Office
The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is a publicly accessible earth science data repository created to curate, publicly serve (publish), and archive digital data and information from biological, chemical and biogeochemical research conducted in coastal, marine, great lakes and laboratory environments. The BCO-DMO repository works closely with investigators funded through the NSF OCE Division’s Biological and Chemical Sections and the Division of Polar Programs Arctic Sciences and Antarctic Organisms & Ecosystems. The office provides services that span the full data life cycle, from data management planning support and DOI creation, to archive with appropriate national facilities.
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 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.
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.
Iowa State University's DataShare
Iowa State University’s DataShare is an open access repository for sharing, publishing, and archiving research data created by Iowa State University scholars and researchers.
UNC Dataverse is a research data repository hosted by the Odum Institute at the University of North Carolina at Chapel Hill. UNC Dataverse is an open access repository that accepts data deposits from individual researchers, research groups, institutions, journals, and other entities from all disciplinary domains. UNC Dataverse offers value-added features that support archiving, discovery, and sharing of research data that align with FAIR principles for findable, accessible, interoperable, reusable data.
National Archive of Criminal Justice Data
Established in 1978, the National Archive of Criminal Justice Data (NACJD) archives and disseminates data on crime and justice for secondary analysis. The archive contains data from over 2,700 curated studies or statistical data series. NACJD is home to several large-scale and well known datasets, including the National Crime Victimization Survey (NCVS), the FBI's Uniform Crime Reports (UCR), the FBI's National Incident-Based Reporting System (NIBRS), and the Project on Human Development in Chicago Neighborhoods (PHDCN). In addition to making data available, NACJD curates and preserves data to ensure that they are accessible now and in the future. Located within the Inter-University Consortium for Political and Social Research (ICPSR), a research center of the Institute for Social Research (ISR) at the University of Michigan, NACJD is sponsored by the Bureau of Justice Statistics (BJS), the National Institute of Justice (NIJ), and the Office of Juvenile Justice and Delinquency Prevention (OJJDP) of the United States Department of Justice.
Civic Learning, Engagement, and Action Data Sharing
Researchers from a wide variety of disciplines study civic education, civic action, and the many relationships between the two. Civic Learning, Engagement, and Action Data Sharing (CivicLEADS) provides infrastructure for researchers to share and access high-quality datasets which can be used to study civic education and involvement. Funded by a grant from the Spencer Foundation and part of ICPSR's Education and Child Care Data Archives at the University of Michigan, CivicLEADS provides a centralized repository for this multi-disciplinary research area, with data being created across education, political science, developmental sciences, and other disciplines. Researchers can access quantitative and qualitative data on a broad range of topics for secondary analysis as well as sharing their own primary research data. CivicLEADS includes datasets from other ICPSR archives and seeks out emerging data collected by studies still in the field. Beyond facilitating the sharing and discovery of data, CivicLEADS seeks to create a learning community around civic education and engagement research. We strive to form relationships with and between investigators and researchers at every level—from students to emeriti faculty. Data shared in this archive have been documented with thorough metadata, and tools drawing upon these metadata allow researchers to explore and compare variables both within and between studies. By providing tutorials, webinars, and in-person training, CivicLEADS connects researchers with data and facilitates the future of civic education and civic action research.
The Tromsø Repository of Language and Linguistics
The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.
DataverseNO (https://dataverse.no/) is a national, generic repository for open research data, owned and operated by UiT The Arctic University of Norway. DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. The technical infrastructure of the repository is based on the open source application Dataverse, which is developed by an international developer and user community led by Harvard University. DataverseNO is CoreTrustSeal certified.
NICHD Data and Specimen Hub
The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Data and Specimen Hub (DASH) is a centralized resource that allows researchers to share and access de-identified data from studies funded by NICHD. DASH also serves as a portal for requesting biospecimens from selected DASH studies.
HydroShare is a system operated by The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that enables users to share and publish water-related data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare providing users with a gateway to high performance computing and computing in the cloud. With HydroShare you can: share data and models with colleagues; manage access to shared content; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models with data in HydroShare.
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