[M-GI31] Open and FAIR Science: Data Sharing, e-Infrastructure, Data Citation and Reproducibility

[MGI31-04] The connected sample - IGSN's contribution to making samples FAIR

★Invited Papers

*Jens F Klump¹, Kerstin Lehnert², Lesley Wyborn³, Sarah Ramdeen² (1.CSIRO Mineral Resources, 2.Lamont-Doherty Earth Observatory, Columbia University, 3.Australian National University)

Keywords:Persistent Identifier, Sample specimen, Knowledge Graph

Persistent unique identifiers (PID) are a critical element of the research ecosystem and are used to unambiguously identify and cite digital representations of many entities including specimens, publications, data, instruments, researchers, organizations, funding awards, field programs, and others. IGSN was initially developed in 2004 to provide a persistent, globally unique, web resolvable identifier for physical specimens and now has over 10 million specimens registered. Apart from the number of uses now growing, increasingly over time, the application of identifiers to specimens has been at finer and finer granularity. There is now a need to not only enable the scaling to the billions of identifiers, but also to be able to link IGSNs to these other related entities and enable a ‘knowledge graph’ to be created that provides a complete picture of who collected the specimen, who funded it, who curated it, what data has been collected on that specimen, where have those data been published, where the specimen is curated, etc. As part of the IGSN 2040 project, the IGSN e.V. has been modernizing its technical infrastructure, adopting a web-based architecture with encoding of metadata using JavaScript Object Notation for Linked Data (JSON-LD). The new architecture can be leveraged by knowledge graph systems pulling data and metadata from various other sources that use semantic web standards.

IGSN’s new architecture is fundamentally driven by the need to facilitate collaboration and management of samples and data about samples, as a means to enable new research as part of a research ecosystem where IGSN provides registration service as well as the infrastructure and guidelines to support aggregation and value-added services such as knowledge graphs that enable each uniquely identified specimen to be related to many other components of the research data ecosystem.