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**Recommendation 4.0 **

======Recommendation to use IGSN as the standard reference in technical infrastructures to samples where appropriate======

=====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.



=====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====

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.

Also see [3] Baldewein et al. (2023). FAIR WISH D7 -Standard Operating Procedure for automatic IGSN registration. Zenodo. https://doi.org/10.5281/zenodo.10401380

====5. Naming of communities that have already implemented the recommendation====


====6. Documentation of the test to validate correct implementation====



====7. Examples of Instances====

IGSN is implemented within the Helmholtz association at AWI, GFZ, and Hereon through the FAIRWish Project [4]. See [3] for more information. 

Another implementation is documented at the Kiel University (CAU) [6]
====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

[3] Baldewein, L., Kleeberg, U., Brauser, A., Elger, K., Frenzel, S., Heim, B., & Wieczorek, M. (2023). FAIR WISH D7 - Standard Operating Procedure for automatic IGSN registration. Zenodo. https://doi.org/10.5281/zenodo.10401380

[4] The FAIR Wish Project: https://helmholtz-metadaten.de/de/inf-projects/fair-wish-fair-workflows-to-establish-igsn-for-samples-in-the-helmholtz-association

[5] IGSN Documentation on forschungsdaten.org https://www.forschungsdaten.org/index.php/IGSN

[6] IGSN Service and Documentation at the University Kiel https://igsn.uni-kiel.de/de

===Relevant Community Recommendations===

====9. History of this document====