[Erin Robinson]

Collaborative session notes: https://docs.google.com/document/d/1LYJKaMOcF1GrZlnCNhNQgweiF-l6GUDDIJpu7Xa3KO0/edit?usp=sharing
 
1) Welcome and introductions
2) Setting the scene:
a) review of topics identified by VP17 Place-based Data Management Practices BoF:
b) Presentations by 2 newly funded U.S. National Science Foundation projects:

Sampling Nature Research Coordination Network (Sampling Nature RCN)

The FAIR Island Project for Place-based Open Science (EAGER)

3) Open discussion with the audience (may be done in breakouts if sufficient attendees
4) Circle back, synthesesis and summary
5) Closure and next steps.

1. First group option
Physical Samples and Collections in the Research Data Ecosystem IG

3.Third group option
RDA for the Sustainable Development Goals IG

Additional links to informative material

VP17 Place-based Data Management Practices BoF:

Sampling Nature Research Coordination Network (Sampling Nature RCN)

The FAIR Island Project for Place-based Open Science (EAGER)

Applicable Pathways
Data Infrastructures – Organisational to Environments

Avoid conflict with the following group (1)
Physical Samples and Collections in the Research Data Ecosystem IG

Avoid conflict with the following group (3)
International Indigenous Data Sovereignty IG

Contact for group (email)
Erin@metadatagamechangers.com

Group chair serving as contact person
Lesley Wyborn

I declare that I have informed the chairs of all the Working / Interest groups included in this joint meeting application.
Acknowledged

Meeting objectives
The relationship between people, place, and data underpins some of the greatest challenges, and opportunities, of the 21st century. Relationships between human communities and their natural and built environments are increasingly mediated through digital data. These data feed models and algorithms, including applications of Machine Learning and Artificial Intelligence, that impact decision-making in a range of contexts and at nested scales of governance from the stewardship of smart cities and Indigenous lands to international agreements over global commons such as the High Seas, Antarctica, or the Earth’s atmosphere. Digital representations of complex systems (digital twins or avatars) are emerging as technology platforms that harness the predictive power of scientific understanding (e.g., the consequences of climate change), while raising vital ethical, legal and social issues, including who should control these capabilities and how.   
 
Place-based data have a unique quality in that they span the sciences and humanities with time and space (geolocation) acting as foundational metadata used to assign data to “place” (or nested “places”). Furthermore, all place-based data are tightly bound up with personal and social identity, as place is an inherently human construct – even wilderness being designated to some degree by policy-makers. While the issues for Research Data Management are thus as diverse as the diversity of people and places, they share common underlying themes and issues (scientific, ethical, legal, and social) and much can be learned from shared experience informing common standards, useful tools and best practices, which in turn enable comparisons among and between places enabling mutual learning networks to emerge to achieve common goals, such as those laid out in the UN 2030 Agenda for Sustainable Development and associated UN “Decades”. 

Please indicate the breakout slot (s) that would suit your meeting
Breakout 1

Privacy Policy
1

Target Audience
The target audience is those involved in the relationship betweem between people, place, and data that also takes into account the underlying scientific, ethical, legal, and social themes.

Discussion