Results 31 to 40 of about 2,098 (161)
The IGSN–DataCite Partnership: Progressing the Global Samples Community
, 2022 The ability to distinguish physical samples uniquely and continuously through Persistent Identifier (PID) metadata is vital for: (a) interoperability among data systems, (b) integration of physical samples with their descriptions, and (c) enabling search
Edmunds, Rorie
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DataCite Facets: Understanding DataCite Usage
, 2022 Cite this blog as Habermann, T. (2022). DataCite Facets: Understanding DataCite Usage. Front Matter.
openaire +1 more source
DataCite Fabrica & DataCite Commons Training
, 2022 DataCite Member Meeting 2022 DataCite Training Session (Core Track) DataCite Fabrica & DataCite Commons September ...
openaire +2 more sources
The IGSN–DataCite Partnership: Realizing the IGSN 2040 Vision
, 2022 In October 2021, DataCite and the IGSN e.V. announced a partnership to support the global adoption, implementation, and use of physical sample identifiers.
Edmunds, Rorie, Elger, Kirsten
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Registering a DataCite DOI on SORER - step-by-step guide
, 2022 Persistent identifiers (PIDs) are necessary to facilitate discoverability, citation, and re-use of research outputs today and in the future. A Digital Object Identifier (DOI) is one such a PID and helps research institutions and researchers to increase ...
Ahmed , Mohamed Ali
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, 2015 <p>DataCite-ORCID is a Ruby Sinatra web application to allow users to claim DataCite DOIs for their ORCID profile. 1.0 was released on July 25, 2015 with the following changes:</p> <ul> <li>use ENV variables and dotenv (#1)&
Karl Jonathan Ward +7 more
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, 2023 <p>The Best Practice session will showcase some examples from DataCite Members who have implemented workflows that enable connection metadata to be included when they register DataCite DOIs.</p><p>The connection metadata properties in ...
Karsou, Rawan M. +3 more
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The metadata ecosystem and AI: Enabling FAIR and AI‐ready data
AI Magazine, Volume 47, Issue 2, Summer 2026.Abstract Reproducibility is a foundational tenet of science. As artificial intelligence (AI) becomes increasingly embedded across science, the need to accurately document the provenance, structure, and behavior of training data, models, and workflows grows correspondingly. Metadata, understood as explicit and structured knowledge about data and related
Jane Greenberg +5 more
wiley +1 more source
DataCite Looking Ahead – Global Data Citation Corpus for All Data Citations
, 2023 Wellcome Trust and the Chan Zuckerberg Initiative Partners with DataCite to Build the Open Global Data Citation Corpus Aggregated references to data across outputs will help the community monitor impact, inform future funding, and improve the ...
Buys, Matthew
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AI Magazine, Volume 47, Issue 1, Spring 2026.Abstract For more than a decade, scientists have been striving to make their datasets available in open repositories, with the goal that they be findable, accessible, interoperable, and reusable (FAIR). Although it is hard for most investigators to remember all the “guiding principles” associated with FAIR data, there is one overarching requirement ...
Mark A. Musen +3 more
wiley +1 more source