Introductory slides for the new Research Data Alliance Interest Group on Global Open Research Commons Interest Group

1. Global Open Research Commons IG
https://www.rd-alliance.org/groups/coordinating-global-open-research-commons-ig
Omo Oaiya
WACREN
Nigeria
Sarah Jones
DCC
Scotland
Devika Madalli
ISI
India
Vivien Bonazzi
Deloitte
USA
Andrew Treloar
ARDC
Australia
Corina Pascu
EC
Belgium
Kazu Yamaji
NII
Japan

2. Session agenda
• Introductory grounding (15 mins) Sarah / Corina
- The remit of the new Interest Group
- Defining a typology for Open Science Commons
- Report from the CODATA conference session in Beijing
• Developing the WG proposal (60 mins) - Andrew / Mark
- Proposals for initial pilot cases  input from floor
- How to coordinate / synchronise topics - shared workplan / timeline or thematic
- Volunteers to contribute to pilots and lead WG
• Shaping the OSC agenda & global collaboration (15 mins) Juan
www.rd-alliance.org/open-science-commons-interest-group-working-group-0
Please add to the collaborative session notes!
http://tiny.cc/GOSC-IG

3. Research Data Alliance BoFs
Several previous sessions before IG:
• Towards a Global Open Science Commons,
March 2018, Berlin
• Delivering a Global Open Science Commons,
November 2018, Gaborone
• Coordinating Global Open Science Commons
initiatives, March 2019, Philadelphia

4. • To examine potential for further coordination and interoperability
• New case studies (Asia/Pacific region and international)
• Platforms/clouds:
• CSTCloud federation cloud for open science in China
• National Data platform datagov.in in India
• African Open Science Cloud
• Inter-Regional modular solution for federation of inter-regional Open Science clouds (e.g.
EU-China, EU-Africa or Africa-China)
• Services:
• Sharing mesh of storage, data and applications: H2020 CS3mesh4EOSC (starting 01/2020,
Coordinator: CERN, AARNet partner)
• National/international policies
• G7, ISC, International Science Council, NDSAP ( National Data Sharing and Accessibility
Policy) and Open Science initiatives in India, progress in Japan
https://conference.codata.org/CODATA_2019/sessions/155
CODATA session

5. • Initiatives are emerging globally, including in less economically
developed countries – how to enable inter-regional
cooperation?
• Multilateral and cross disciplinary cooperation is needed
• The Beijing Declaration (under review) on core principles to
encourage global cooperation especially for public research data
• Many pieces in the “puzzle” required to make this vision a reality
which include policy and technical spheres but also governance,
cultural change
Some take-aways

6. GOSC Interest & Working groups
Global Open Science
Commons IG
…WG …. WG … WG
https://rd-alliance.org

7. Remit of new Interest Group
• Provide a neutral place where people have conversations
about Open Science Commons
• Reach a shared understanding of what a “Commons” is in
the research data space
• Proactively look outside the RDA community to connect
with parallel initiatives
• Own the overall remit of coordinating the delivery of a
Global Open Science Commons and monitor progress made
within related RDA Working Groups and other initiatives

8. Plan for first 12-18 months
• Reach consensus on the description/vision of a Commons.
• Agree a typology of Open Science Commons to provide a
framework for activity
• Develop a roadmap for global alignment between Global
Open Science Commons.
• Create one or more initial Working Groups to conduct
focused activity.

9. What is an Open Research Commons?
“A shared virtual space or platform that provides a
marketplace for data and services”
Could be country, continent, discipline, sector based e.g.
• European Open Science Cloud
• Australian Research Data Commons
• African Open Science Platform
• Data Commons for Food Security
• CSIROs Managed Data Ecosystem
• …..

10. Science Commons typologies…
EOSC six layers

11. 1. FAIR object ecosystem (FAIR DOs,
PIDs/GUPRIs, Types)
2. Community Services/Core
Resources
A. Semantic resources,
metadata schema
B. Repositories/data resources,
data stewardship services,
analytical tools
3. Communities Agreements (data
sharing/visiting agreements)
Typology of areas for consensus
building in global commons initiatives
4. Data Policies
5. Infrastructure (network, compute,
storage)
6. Skills and Training
7. Business Models and Sustainability
8. Governance and Rules of
Engagement

12. NIH technical layers plus…
Technical AND human dimensions
Governance
Sustainability
Stakeholderengagement
Technical layer cake courtesy of Vivien Bonazzi, NIH
Flows…….
Don’t build silos!
Open APIs and open data
where possible
Avoid vendor lock-in.
Infrastructure should be
“forkable” to move
elsewhere if desired

13. Image Reuben Juarez https://unsplash.com/photos/C4sxVxcXEQg

14. Thanks for listening!
Questions?
sarah.jones@glasgow.ac.uk
Twitter: @sjDCC