RDA directly and logically tackles numerous data infrastructure challenges through the work of its Working Groups, Interest Groups and Communities of Practice.
What's the difference?
Working Groups (WG)
WGs 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. Any RDA member can join or initiate a WG.
Learn more about Joining or Initiating a Working Group >>
View the current listing of Working Groups>>
Interest Groups (IG)
IGs 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. These groups identify specific pieces of work and can start up a WG to tackle those projects. Any RDA member can join or initiate an IG.
Learn more about Joining or Initiating an Interest Group >>
View the current listing of Interest Groups >>
Communities of Practice (CoP)
CoPs investigate, discuss and provide knowledge and skills within a specific discipline and/or research domain. These groups are committed to directly or indirectly enabling data sharing, exchange and/or interoperability by serving as THE coordination focal point for RDA in specific disciplines/research domains.
Learn more about Joining or Initiating a CoP >>
WG Working Groups - IG Interest Groups - CoP Communities of Practice
12
Jun
2017
IG
Software source code plays a critical role in all fields of modern research, where source code is written and developed to address a variety of needs, like cleaning, processing and visualising data.
Software source code is a necessary component for research reproducibility and reusability.
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03
Aug
2021
IG
It is the objective of this group to i) discuss the nature of information ii) characterize the variant concepts in different fields and iii) evaluate to conequences for research data management.
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07
Mar
2016
IG
The vision of the Research Data Alliance (RDA) is that “researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society.” The Mission of RDA is that it “builds the social and technical bridges that enable open sharing of data.”
Increasingly researchers who are not co-located are seeking to work dynamically together at various scales from the local to global using the internet to share data, models, workflows, best practice, publications, management and administration of their research etc. The Virtual Research Environments Interest Group (VRE-IG) seeks to build the required technical bridges, skills and social communities that enable global sharing and processing of data across technologies, disciplines and countries through the creation of shared online virtual environments. As these individual VREs grow, inevitably they need to also connect with major national research infrastructures.
The goal of the VRE-IG is to identify the technical issues to and - where known - share solutions that enable online access to data required to address issues that can range from local challenges (which are also potentially of direct relevance to researchers in other geographical areas or other research domains), to the research grand challenges currently being faced by society on global issues, e.g., societal impacts of climate change; sustainable cities; and environmentally sensitive utilisation of the scarce resources of our planet.
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10
Mar
2015
IG
The Vocabulary and Semantic Services IG has several task groups addressing particular topics.
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31
Oct
2022
IG
Lack of interoperability between tools/e-infrastructures presents a significant barrier to streamlining processes throughout the research lifecycle. These gaps prevent the comprehensive collection and incorporation of research data and metadata into the research record captured during the active research phase. Furthermore, it limits the scope for passing this data and metadata on to data repositories, thus undermining FAIR data principles and reproducibility.
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