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Table of Contents
Recommendation 4.0
Recommendation to
Description
Status:
Motivation for this Recommendation:
[shortened from below]
Recommendation
IGSN is used to identify samples in data infrastructures.
For organizations this means:
- a person or unit should be made responsible to maintain the centres IGSNs.
For data curators this means:
- Enable, train and encourage staff to register IGSN when samples are taken.
- Enable, train and encourage staff to record any parent IGSNs with subsamples.
For researchers it means:
- Record an IGSN with any sample taken.
- Record the parent IGSN with any subsample measured
For data infrastructures:
- record a IGSN to identify samples and parent samples and make this data part of the metadata available for harvesting.
- treat IGSN metadata as the primary source of truth and update your own metadata accordingly.
[shortened from below]
[Format: Wer! macht was! wo! wann! unter welchen Voraussetzungen!]
Binding Convention:
mandatory | conditional | optional | |
---|---|---|---|
Helmholtz FAIR Principle |
Precondition for Implementation:
Related Recommendations
Parent:
Dependent:
Other: none
Contributors
Names of contributors to this recommendation
Content
[1] Plankytė, Vaida, Macneil, Rory, & Chen, Xiaoli. (2023). Guiding principles for implementing persistent identification and metadata features on research tools to boost interoperability of research data and support sample management workflows. Zenodo. https://doi.org/10.5281/zenodo.8284206
1. Explanation of the Background and Benefits of the Recommendation
About
History and structure
Current Use of …
Motivation
2. Possible alternative solutions
3. Consideration of the advantages and disadvantages of implementing the recommendation
(quality of content, limitations, interoperability, sustainability: expected future dissemination / technical availability / funding)
4. The Recommendation
[Format: Wer! macht was! wo! wann! unter welchen Voraussetzungen!]
5. Naming of communities that have already implemented the recommendation
6. Documentation of the test to validate correct implementation
7. Examples of Instances
8. Further Information
References
[1] Plankytė, Vaida, Macneil, Rory, & Chen, Xiaoli. (2023). Guiding principles for implementing persistent identification and metadata features on research tools to boost interoperability of research data and support sample management workflows. Zenodo. https://doi.org/10.5281/zenodo.8284206
[2] Klump, J., Lehnert, K., Ulbricht, D., Devaraju, A., Elger, K., Fleischer, D., Ramdeen, S., Wyborn, L. (2021): Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number. - Data Science Journal, 20, 1, 1-16., DOI: https://doi.org/10.5334/dsj-2021-033