standards > model/format > DOI:10.25504/FAIRsharing.bbQbSW
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ready Crossref Metadata Deposit Schema


General Information
The Crossref Metadata Deposit Schema is a schema designed to enforce a standardized metadata format on research content stored within Crossref. This schema supports a range of different content types and categories, including descriptive (bibliographic), administrative and structural. It follows the ISO/IEC 11179 Metadata Registry (MDR) standard, which specifies a schema for recording both the meaning and technical structure of the data for unambiguous usage by humans and computers.



How to cite this record FAIRsharing.org: Crossref Metadata Deposit Schema; Crossref Metadata Deposit Schema; DOI: https://doi.org/10.25504/FAIRsharing.bbQbSW; Last edited: Jan. 25, 2021, 4:29 p.m.; Last accessed: Nov 30 2021 1:59 a.m.


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Record added: June 20, 2020, 2:07 p.m.
Record updated: June 20, 2020, 2:12 p.m. by The FAIRsharing Team.

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Related Databases (4)
Open Science Framework
The Open Science Framework (OSF) is a free and open source project management tool that supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery. Features include automated versioning, logging of all actions, collaboration support, free and unlimited file storage, registrations, and connections to other tools/services (ie. Dropbox, figshare, Amazon S3, Dataverse, GitHub). It is 100% free to researchers, open source, and intended for use in all domain areas. OSF has an open, public API to support broad indexing, as well as a partnership with Internet Archive for long-term preservation with a $250k preservation fund and an IMLS grant for transfer to Internet Archive (currently in progress). The OSF supports embargoing during peer review via a view-only link with the ability to anonymize contributor list. It also provides managed access by allowing access requests and private sharing settings. OSF is a non-profit with direct funder support through grants, government contracts, and community memberships.

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.

Crossref
Crossref is a central reference linking service, providing cross-publisher citation links via an API and visualization tools. Links to funders and other related events and outputs are also available. There are additional services for members such as content registration and reference linking.

Rolling Deck to Repository
Rolling Deck to Repository (R2R) catalogs and submits the underway environmental sensor data routinely acquired on research expeditions to long-term public archives. Data from each cruise are submitted directly to R2R by the vessel operator, rather than by the science party. Individual data sets are broken out according to instrument system and disseminated via the appropriate National Data Center after any proprietary holds (as permitted by the funding agency) are cleared. R2R provides remote download links as part of the Catalog. R2R provides essential documentation and standard products for each expedition, as well as tools to document shipboard data acquisition activities while underway. Post-cruise quality assessment of selected underway data types is provided, designed to evaluate the completeness of data and data documentation and to provide measures of instrument operation. Assessment of underway meteorological data is implemented in near-real-time in partnership with the SAMOS program at FSU.

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