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This document contains deliverable D1 List of identified linked open data vocabularies to be included in IGSN metadata of the project FAIR Workflows to establish IGSN for Samples in the Helmholtz Association (FAIR WISH) funded by the Helmholtz Metadata Collaboration (HMC). Deliverable D1 is part of work package 2 Identification and integration of linked open data vocabularies to be included in disciplinary metadata. Linked open data vocabularies allow for a concise and unambiguous language to describe samples in machine-actionable and interoperable form. They also ensure the possibility of interlinking and comparing samples for which similar or the same terms are used. Here we present the result of our search for open vocabularies, which seem suitable for the FAIR WISH project. FAIR WISH was was funded 2022-2023 by the Initiative and Networking Fund of the Helmholtz Association (Helmholtz Metadata Collaboration HMC, Project Cohorte 2020).
IGSN, linked open data vocabularies, Helmholtz Metadata Collaboration, FAIR
IGSN, linked open data vocabularies, Helmholtz Metadata Collaboration, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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