The Project was supported under the RDA Open Call for Interoperability Framework Contributions and implemented by Research Space (RSpace) and DataCite from December 2022 until July 2023. RSpace provided the digital research platform, which features an integrated electronic lab notebook and sample management system that are connected to an ecosystem of tools & services that researchers and data librarians commonly use. DataCite connects research outputs and resources with metadata—from samples and images to data and preprints - and facilitates the creation and management of persistent identifiers (PIDs), integrates services to improve research workflows, and facilitates the discovery and reuse of research outputs and resources. The key objec...
Research Data Management (RDM) provides a framework that supports researchers and their data through...
<p>Use of a persistent identifier for access to journal articles (the DOI) is now almost universal a...
With research data increasingly being acknowledged as a first-class research output, it's important ...
In recent years, PIDs have evolved quickly from being an interesting but peripheral resource on the ...
Physical samples with informative metadata are more easily discoverable, shareable, and reusable. Me...
The uptake of Persistent Identifiers (PIDs) has increased in recent years and has improved the Finda...
Academic libraries are working in new areas to support the publishing activities of their institutio...
DataCite is a global community that share a common interest: to ensure that research outputs and res...
<p>In the spirit of the Joint Declaration of Data Citation Principles, we present three flexible sol...
DaRUS, the upcoming data repository of the University of Stuttgart based on Dataverse, should not on...
The ability to distinguish physical samples uniquely and continuously through Persistent Identifier ...
One of the major advances over the last 10 years for sharing content has been the development and gr...
Huge amounts of research data stored in a multitude of research data repository platforms can often ...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Metadata and the use of persistent identifiers (PIDs) are essential for the implementation of the FA...
Research Data Management (RDM) provides a framework that supports researchers and their data through...
<p>Use of a persistent identifier for access to journal articles (the DOI) is now almost universal a...
With research data increasingly being acknowledged as a first-class research output, it's important ...
In recent years, PIDs have evolved quickly from being an interesting but peripheral resource on the ...
Physical samples with informative metadata are more easily discoverable, shareable, and reusable. Me...
The uptake of Persistent Identifiers (PIDs) has increased in recent years and has improved the Finda...
Academic libraries are working in new areas to support the publishing activities of their institutio...
DataCite is a global community that share a common interest: to ensure that research outputs and res...
<p>In the spirit of the Joint Declaration of Data Citation Principles, we present three flexible sol...
DaRUS, the upcoming data repository of the University of Stuttgart based on Dataverse, should not on...
The ability to distinguish physical samples uniquely and continuously through Persistent Identifier ...
One of the major advances over the last 10 years for sharing content has been the development and gr...
Huge amounts of research data stored in a multitude of research data repository platforms can often ...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Metadata and the use of persistent identifiers (PIDs) are essential for the implementation of the FA...
Research Data Management (RDM) provides a framework that supports researchers and their data through...
<p>Use of a persistent identifier for access to journal articles (the DOI) is now almost universal a...
With research data increasingly being acknowledged as a first-class research output, it's important ...