
Physical samples (or specimen or artefacts) represent the origin of research results in many scientific disciplines. Assigning persistent identifier (PID) to samples is a fundamental step to make them discoverable and traceable in unambiguous way over the Web. The International Generic Sample Number (IGSN) is a PID for physical samples and connecting these with their online description following a dedicated metadata schema. Sample descriptions of samples are available in various formats and detail. In order to publish them in a standardized manner and to automate and standardize the preparation and processing, the software product SAMIRA (Sample IGSN Registra-tion Automation) was created as part of the Project FAIR WISH, funded by the Helmholtz Metadata Collaboration (HMC). SAMIRA aims to automate the generation of Metadata XML-Files for the Registration of PID from different input sources (e.g. the FAIR Samples Template, Wiezcorek et al., 2023). This first version of SAMIRA implements the creation of IGSN and Datacite metadata and the respective PID registration.
This document describes the deliverable “D8 - Scripts for generation of metadata in XML and JSON (GFZ)” of the project FAIR Workflows to establish IGSN for Samples in the Helmholtz Association (FAIR WISH) funded by the Helmholtz Metadata Collaboration (HMC). This deliverable is partly based on the FAIR WISH: Sample description template (Brauser et al., 2023). The SAMIRA software, described here, is published with the DOI http://doi.org/10.5880/GFZ.LIS.2023.001 (Frenzel 2023). The pdf of v1 was corrupt and was replaced by a new version with the same content on 22 February 2024. FAIR WISH was was funded 2022-2023 by the Initiative and Networking Fund of the Helmholtz Association (Helmholtz Metadata Collaboration HMC, Project Cohorte 2020).
Automation, , PHP, metadata, , IGSN, International Generic Sample Number, physical sample, Software
Automation, , PHP, metadata, , IGSN, International Generic Sample Number, physical sample, Software
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