[Lesley Wyborn]

Collaborative session notes: https://docs.google.com/document/d/1RK3bnyt_7bUeYR-znhMcVul_P7fcqx15xzjnPtdowCw/edit?usp=sharing

Welcome (5 minutes)

Logistics & overview of session objectives, invitation to fill in attendance and invite participants to enter their samples projects in a crowd-sourced catalogue

Review of ‘23 things’ Physical Samples (10 minutes)

An overview of practical, free, online resources and tools (DRAFT)

 Five-minute Lightning presentations on various major systems developing infrastructure for samples (20 minutes) 

ESIP Samples Cluster: Draft Journal Guidance for Physical Samples and Associated data – Sarah Ramdeen

New Projects and updates: iSamples/Sampling Nature – Sarah Ramdeen (on behalf of Kerstin Lehnert)

Metadata Mapping (iSamples) – Steve Richards

Update on partnership between DataCite and IGSN – Jens Klump

Deep Dive: Use cases on Linking Related Physical Samples and Interdisciplinary Data. Introduction to the breakout sessions on reviewing identifiers, key metadata elements, and/or coordination efforts required for interdisciplinary sample data discovery, integration, and reuse across multiple data systems  (5 minutes) Joan Damerow

Three concurrent breakout sessions (30 minutes each), selected by attendees on:

Interdisciplinary Sample and Data Discovery (Steve Richards)

Sample Meta(data) Access and Linking across Data Systems (Joan Damerow)

Reuse of samples and data: what metadata is critical to ensure credit? (Lesley Wyborn)

Circle back (15 minute) on: Joan Damerow

Interdisciplinary Discovery

Access and Linking

Ensuring Credit in Reuse of Samples

 Synthesis and Next steps (5 minutes) Lesley Wyborn

Additional links to informative material

Group Page

https://www.rd-alliance.org/groups/physical-samples-and-collections-research-data-ecosystem-ig

Case Statement:

https://www.rd-alliance.org/group/physical-samples-and-collections-research-data-ecosystem-ig/case-statement/physical-samples

IGSN 2040 announcement:  https://blogs.ei.columbia.edu/2018/07/20/sloan-foundation-grant-open-science/

Papers from the Linking Environmental Data and Samples Symposium, Canberra, May 2017

Beijing Declaration on Research Data: http://www.codata.org/news/361/62/The-Beijing-Declaration-on-Research-Data

ESIP: Vocabularies for rock type categories https://sched.co/jMO5

iSamples: High level vocabularies for cross domain physical sample indexing https://doi.org/10.5281/zenodo.5123606

ESIP Physical Samples Cluster https://wiki.esipfed.org/Physical_Sample_Curation

Sampling Nature RCN https://www.samplingnature.org  

Applicable Pathways
Data Infrastructures – Organisational to Environments

Avoid conflict with the following group (1)
ESIP/RDA Earth, Space, and Environmental Sciences IG

Avoid conflict with the following group (3)
RDA for the Sustainable Development Goals IG

Contact for group (email)
lesley.wyborn@anu.edu.au

Group chair serving as contact person
Lesley Wyborn

Meeting objectives
There have been a number of systems developed for the unique identification and description of physical (material) samples. Interdisciplinary variations are inevitable and must be supported by the infrastructure since no single facility or approach will suit all. However, sample identifier and metadata practices and tools developed within a single discipline must still enable data discovery, integration and reuse across multiple data systems. There has to be a balance between enabling interdisciplinary aggregations, without impacting on deeper disciplinary descriptions within the local or community-specific variations, that would enable greater and more effective use/reuse of a sample and its related data artefacts (e.g., observations, images, analytical data). 
What is required is a global ‘Framework’ that will leverage common elements within each ‘System’, but will still allow some inevitable differences to enable each ‘System’ to also meet its stakeholder needs. 
 
The objectives of this session is to bring together the global samples community to determine the key metadata elements across multiple sample communities that enable:

Sample and data discovery; 

Sample (meta)data access and linking across systems; and 

Ensuring credit in reuse of samples and data.

Please indicate the breakout slot (s) that would suit your meeting
Breakout 1, Breakout 2, Breakout 3, Breakout 6, Breakout 10, Breakout 11

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