477 academics and policymakers gathered in Dublin for the RDA's Third Plenary Meeting to discuss advancing open data sharing. There were 8 working groups and 26 interest groups focused on issues around data citation, description, standards, and interoperability. For example, the Data Citation working group aims to develop efficient approaches for citing subsets of research data.

1. RDA Third Plenary
Dublin, Ireland
March 2014

2. 477 academics and policymakers from around the globe gathered in Dublin last week for the
Research Data Alliance’s Third Plenary Meeting.

6. 8 Working Groups
• Data Citation WG
• Data Description Registry
Interoperability
• Data Foundation and
Terminology
• Data Type Registries
• Metadata Standards
Directory
• PID Information Type
• Practical Policy
• Standardisation of Data
Categories and Codes
• Wheat Data
Interoperability
26 Interest Groups
• Agricultural Data
Interoperability
• Big Data Analytics
• Biodiversity Data
Integration
• Brokering
• Community Capability
Model
• Data in Context
• Defining Urban Data
Exchange for Science
• Development of cloud
computing capacity and
education in developing ….
(18 more)

8. Data Citation WG
• aims to bring together a group of
experts to discuss the issues,
requirements, advantages and
shortcomings of existing approaches
for efficiently citing subsets of data.

9. Data Citation WG: Chairs
Andreas Rauber: rauber@ifs.tuwien.ac.at
http://www.ifs.tuwien.ac.at/~andi/
Ari Asmi: ari.asmi@helsinki.fi
http://blogs.helsinki.fi/acci-group/people/asmi/
Dieter Uytvanck: dieter.vanuytvanck@mpi.nl
http://www.mpi.nl/people/uytvanck-dieter-van

10. Data Citation WG: Work Plan
• Requirement Analysis (M1-6)
• Defining the reference model (M4-12)
• Improving and testing the model (M8-15)
• Promoting the model and reference
implementation (M12-18)

12. Data Description Registry Interoperability (WG)
co-chairs: Amir Aryani, Adrian Burton

13. Meeting notes:
• http://goo.gl/zUxhaV
• Also posted by
• @amir_at_ands
• #RDAPlenary

14. What is the problem?
Cross-platform discovery
• So many places to search
• Research data registries are
fragmented across
institutions, countries and
research domains.
• So many search results
• Finding a relevant dataset is not
a trivial task for many
researchers.

15. ...researchdata.ands.org.au/development-of-
shy...
{All started here!}

16. Working software solution
• Not aiming to develop new standards or
create new protocols,
• instead aiming to leverage existing e-
infrastructure to build a set of working
software solutions.

17. Participants

18. Bilateral projects
• INSPIRE-HEP (CERN) and Research Data Australia (ANDS)
Interoperability Project
• Dryad and Research Data Australia Interoperability Project
• NARCIS (DANS) & Research Data Australia Interoperability
Project
• VIVO Data Description Exchange Solutions
• DCI (Thomson Reuters) and Research Data Australia
Interoperability Project
• DataCite Data Description Exchange Solutions
• da|ra and Data-PASS Interoperability Project

19. Data Description
Registry Interoperability
Cross-Platform Discovery
Data Type Registries WG
Data in Context IG
Publishing Data IG
Search Optimisation
Persistent identifiers
PID Information
Types WG
PID IG
Author
Disambiguation
Metadata Exchange
Metadata Standards
Directory WG
Linking Grants to
Research Data
Data Citation
Thomson Reuters DCI
De-duplication
Challenges and Collaborations

20. RDA WG Assumptions
• Activity funded through pre-
existing sources
• Willingness to share and to
contribute to a global task
• Willingness to extend existing
projects to test conclusions