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A report from the Research Data Alliance third plenary to the Data Citation community in Australia
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RDA Third PlenaryDublin, Ireland
March 2014
477 academics and policymakers from around the globe gathered in Dublin last week for the Research Data Alliance’s Third Plenary Meeting.
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)
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.
Data Citation WG: Chairs
Andreas Rauber: [email protected]://www.ifs.tuwien.ac.at/~andi/
Ari Asmi: [email protected]://blogs.helsinki.fi/acci-group/people/asmi/
Dieter Uytvanck: [email protected]://www.mpi.nl/people/uytvanck-dieter-van
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)
Data Description Registry Interoperability (WG)
co-chairs: Amir Aryani, Adrian Burton
Meeting notes:
• http://goo.gl/zUxhaV• Also posted by
• @amir_at_ands• #RDAPlenary
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.
...researchdata.ands.org.au/development-of-shy...
{All started here!}
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.
Participants
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
Challenges and Collaborations
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