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RDA is a pragmatic and agile organization, and through the work of its Working and Interest Groups, directly and logically tackles numerous data infrastructure challenges.

Any RDA member may initiate or join a Working or Interest group.  To become a member of the RDA, individuals should register with the RDA online community and affirm their support for the RDA Guiding Principles.

 

Working Groups & Interest Groups: what's the difference?

Working Groups

Working Groups are short-term (18 months) and come together to develop and implement data infrastructure, which could be tools, policy, practices and products that are adopted and used by projects, organizations, and communities. Embedded within these groups are individuals who will use the infrastructure and help in making it broadly available to the public.

As of February 2018, RDA boasts 32 working groups.

View the current listing of Working Groups>> 

Interest Groups

Interest groups are open-ended in terms of longevity.  They focus on solving a specific data sharing problem and identifying what kind of infrastructure needs to be built.  Interest Groups can identify specific pieces of work and start up a Working Group to tackle those.;

As of February 2018, RDA boasts 61 interest groups.


View the current listing of Interest Groups >>
 


Many of our members propose Birds of a Feather Meetings at the bi-annual RDA Plenary Meetings to gauge interest and gather momentum and consensus for the creation of Working & Interest Groups.

WG Working Groups - IG Interest Groups

IG

Weather, climate and air quality IG

Status: 
Recognised & Endorsed
Chair (s): 
Pierre-Antoine Bretonnière, Francesco Benincasa
Secretariat Liaison: 
enquiries@rd-alliance.org
TAB Liaison: 
Tobias Weigel

In a field where the amount and the data sources increase exponentially, it becomes critical to find efficient solutions at a community level to address problems such as storage, indexing, metadata, sharing, or analysis. The global objectives of this Interest Group will be to explore and discuss the challenges for management, efficient analysis and dissemination of large and diverse datasets generated by the weather, climate and air quality communities.

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