Community of Practice in the Earth and Environmental Sciences

The International Generic Sample Number originated from the Earth and environmental sciences as the International Geo Sample Number. Over the years, this community has developed best practices for the identification and description of material samples.

System for Earth Science Sample Registration (SESAR)

SESAR is a community platform that helps make samples more discoverable, accessible, and reusable, and connects samples with the knowledge ecosystem derived from them. https://www.geosamples.org

ESIP Physical Samples Curation Cluster

A forum for the community supporting physical samples in the earth, space, and environmental sciences, which includes but is not limited to geological and biological samples.  https://wiki.esipfed.org/Physical_Sample_Curation

ARDC Information Management for Physical Samples Community of Practice

This community is for and supports those managing collections of research samples or specimens. https://sites.google.com/ardc.edu.au/samples-cop/home

Publications

Bastrakova, I., Klump, J. F., McInnes, B., Wyborn, L. A. I., & Brown, A. (2015). IGSN at Work in the Land Down Under: Exploiting an International Sample Identifier System to Enhance Reproducibility of Australian Geochemcial and Geochronological Data. In American Geophysical Union Fall Meeting 2015 (pp. IN33A-1786). San Francisco, CA. Retrieved from https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/77080

Devaraju, A., Klump, J. F., Cox, S. J. D., & Golodoniuc, P. (2016). Representing and Publishing Physical Sample Descriptions. Computers & Geosciences, 96, 1–10. https://doi.org/10.1016/j.cageo.2016.07.018

Klump, J., Lehnert, K. A., Ulbricht, D., Devaraju, A., Elger, K., Fleischer, D., et al. (2021). Towards Globally Unique Identification of Physical Samples: Governance and Technical Implementation of the IGSN Global Sample Number. Data Science Journal, 20(33), 1–16. https://doi.org/10.5334/dsj-2021-033

Lehnert, K. A., & Klump, J. (2008). Facilitating Research in Mantle Petrology with Geoinformatics (p. 9IKC­A­00250). Presented at the 9th International Kimberlite Conference, Frankfurt (M), Germany: Copernicus Society. Retrieved from http://www.cosis.net/abstracts/9IKC/00250/9IKC-A-00250-1.pdf

Lehnert, K. A., Vinayagamoorthy, S., Djapic, B., & Klump, J. (2006). The Digital Sample: Metadata, Unique Identification, and Links to Data and Publications. EOS, Transactions, American Geophysical Union, 87(52, Fall Meet. Suppl.), Abstract IN53C-07.

Lehnert, K. A., Klump, J., Wyborn, L. A. I., & Ramdeen, S. (2019). IGSN: Trustworthy and Sustainable Services for FAIR Samples. In Geophysical Research Abstracts (Vol. 21, pp. EGU2019-11617–1). Vienna, Austria: Copernicus Society. Retrieved from https://meetingorganizer.copernicus.org/EGU2019/EGU2019-11617-1.pdf

McNutt, M., Lehnert, K. A., Hanson, B., Nosek, B. A., Ellison, A. M., & King, J. L. (2016). Liberating field science samples and data. Science, 351(6277), 1024–1026. https://doi.org/10.1126/science.aad7048

Wieczorek, M., Heim, B., Brauser, A., Elger, K., & Baldewein, L. (2022). FAIR WISH D2 - Exemplary standardised metadata templates for Geo-Bio samples (vegetation, water, sediment, rock samples) for all use cases (Project Deliverable) (10 pp.). Potsdam, Germany: Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum. Retrieved from https://zenodo.org/record/7147532