The International Generic Sample Number (IGSN) is a crucial tool for ensuring the traceability and preservation of physical specimens in the Earth Science community. As a persistent identifier (PID), IGSN serves as a link between published digital data and the physical samples stored in a repository, enabling the creation of synergies with other services through the harvesting of machine-readable data. The IGSN can be assigned to a physical specimen at the time of collection, either on board a research vessel or during a field campaign. This unique identifier will follow the sample through the various stages of processing and analysis. In this use case, we demonstrate how IGSN can be minted for sediment cores directly on board a research v...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Life sciences research, and even more specifically biodiversity sciences research, has yet to coales...
Intoductory presentation held during the DAPHNE4NFDI TA 1 lecture series: "Data for science" on 22 N...
There is growing recognition that unambiguous citation and tracking of physical samples allows previ...
Physical samples or specimen are often at the beginning of the “research chain” as they are the sour...
Persistent unique identifiers (PID) are a critical element in digital research data infrastructure t...
The ability to distinguish physical samples uniquely and continuously through Persistent Identifier ...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Material samples are a vital output of the scientific endeavour. They underpin research in the Earth...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
In times of whole city centres being available by a mouse click in 3D to virtually walk through, rea...
The International Geo Sample Number (IGSN) is a globally unique persistent identifier (PID) for phys...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
For more than a decade, the biodiversity informatics community has recognised the importance of stab...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Life sciences research, and even more specifically biodiversity sciences research, has yet to coales...
Intoductory presentation held during the DAPHNE4NFDI TA 1 lecture series: "Data for science" on 22 N...
There is growing recognition that unambiguous citation and tracking of physical samples allows previ...
Physical samples or specimen are often at the beginning of the “research chain” as they are the sour...
Persistent unique identifiers (PID) are a critical element in digital research data infrastructure t...
The ability to distinguish physical samples uniquely and continuously through Persistent Identifier ...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Material samples are a vital output of the scientific endeavour. They underpin research in the Earth...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
In times of whole city centres being available by a mouse click in 3D to virtually walk through, rea...
The International Geo Sample Number (IGSN) is a globally unique persistent identifier (PID) for phys...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
For more than a decade, the biodiversity informatics community has recognised the importance of stab...
In October 2021, DataCite and the International Generic Sample Number (IGSN) e.V. announced a partne...
Life sciences research, and even more specifically biodiversity sciences research, has yet to coales...
Intoductory presentation held during the DAPHNE4NFDI TA 1 lecture series: "Data for science" on 22 N...