Standards > model/format > DOI:10.25504/FAIRsharing.me4qwe


ready DataCite Metadata Schema


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General Information
The DataCite Metadata Schema is a list of core metadata properties chosen for the accurate and consistent identification of a resource for citation and retrieval purposes, along with recommended use instructions. The resource that is being identified can be of any kind, but it is typically a dataset. The term ‘dataset’ can include not only numerical data, but any other research data outputs.

How to cite this record: FAIRsharing.org: DataCite Metadata Schema; DataCite Metadata Schema; DOI: https://doi.org/10.25504/FAIRsharing.me4qwe; Last edited: Feb. 22, 2018, 2:12 p.m.; Last accessed: Apr 20 2018 7:36 a.m.



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This record is maintained by joanstarr

Record added: April 27, 2015, 10:25 a.m.
Record updated: June 26, 2017, 8:04 p.m. by The FAIRsharing Team.


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Implementing Databases (6)
Movebank Data Repository
A free and public archive of animal tracking datasets associated with peer-reviewed publications. The Repository is the long-term archive associated with Movebank (movebank.org), a free, online database created to help animal tracking researchers to manage, share, protect, analyze, and archive their data. Hosted by the Max Planck Institute for Ornithology and the University of Konstanz Library.

FAIRDOMHub
The FAIRDOMHub is a publicly available resource build using the SEEK software, which enables collaborations within the scientific community. FAIRDOM will establish a support and service network for European Systems Biology. It will serve projects in standardizing, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable. FAIRDOM is an initiative to develop a community, and establish an internationally sustained Data and Model Management service to the European Systems Biology community. FAIRDOM is a joint action of ERA-Net EraSysAPP and European Research Infrastructure ISBE.

CancerData
The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. It offers a central, online repository for the sustained storage of clinical protocols, publications and research datasets. The data that are offered can vary from documents, spreadsheets to (bio-)medical images and treatment simulations. CancerData is a registered member of DataCite, which is an international consortium and member of the International DOI Foundation. Via DataCite, we have the ability to offer persistent identifiers to the datasets via the registration of Digital Object Identifiers (DOI).

Zenodo
Generalist research data repository built and developed by OpenAIRE and CERN, to ensure that everyone can join in Open Science.

DataCite Repository
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.

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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