Research Data Alliance (RDA)
Business Profile
Core Value Proposition
Research Data Alliance (RDA) provides a global, community-driven platform that develops and promotes standards, recommendations, and outputs to advance sharing, interoperability, and governance of research data across disciplines.
Target Customer
Researchers, data professionals, libraries, research performing organisations, funders and policy makers, and industry/private sector stakeholders.
Key Differentiator
Global, multidisciplinary, community-driven governance with formal outputs (Recommendations and Outputs), diverse stakeholder representation, and active groups (Working Groups, Interest Groups, Communities of Practice) plus regular plenaries and events.
Implementation Timeline
Not specified in the content; value is described as arising from ongoing participation, outputs, and events over time (e.g., plenaries, group outputs).
Pain Points
- 1Fragmentation of data standards across disciplines, hindering data findability, accessibility, interoperability, and reuse.
- 2Lack of clear guidance for data management, policy development, and governance, including policies for research software.
- 3Difficulty connecting researchers with policy makers, funders, and industry to accelerate data-driven research and policy impact.
Key Features
- 1Community-driven groups: Working Groups, Interest Groups, Communities of Practice, and Birds of a Feather sessions for collaboration and output development.
- 2Development and dissemination of Recommendations and Outputs to standardize and guide data practices across disciplines.
- 3Global events and plenaries (RDA Plenaries) and other meetings to convene the community and share results.
- 4Knowledge resources and discovery tools (e.g., Knowledge Base, RDA Graph, RDA Discovery) to access data concepts and outputs.
- 5Membership models and governance structures (Individual, Organizational/Affiliate, Regional Members) and multiple governance boards (Governance Council, Advisory Boards, Secretariat).
Target Customer Industries
Decision Makers
- 1Secretary General
- 2Policy Officer
- 3RDA Operations & Accounts Manager
- 4Mediator (in Code of Conduct process)
- 5Council Co-chairs
- 6Technical Advisory Board (TAB) Members
Client Results
- 1Adoption and use of RDA recommendations and outputs by researchers, institutions, and communities to improve data practices.
- 2Improved data interoperability and governance across disciplines through collaborative outputs and standards.
- 3Policy and guidance materials (e.g., white papers, case studies) that inform national and institutional data strategies.
Competitive Advantages
- 1Global, multidisciplinary community enabling cross-domain data standards and interoperability.
- 2Formal, published Recommendations and Outputs that can guide institutions and researchers.
- 3Extensive governance and stakeholder representation (funders, policy makers, industry, libraries, research organisations).
- 4Regular events (plenary meetings) and a structured program of groups and outputs.
- 5Knowledge resources and discovery tools to access and apply data standards and policies.
Key Benefits
Case Studies & Success Stories
Case studies of implementation of policies that support research software in research organisations
This Working Group output details four case studies of research organisations implementing policies to support research software.
Additional Product Information
Product Description
A global, community-driven initiative that develops and promotes data sharing standards, recommendations, and outputs to advance interoperability and governance of research data across disciplines.
Target Market
Researchers, data professionals, libraries, research performing organisations, funders, policy makers, and industry partners involved in data management and policy.
Unique Value Proposition
A collaborative, multi-stakeholder platform that delivers governance, standards, and practical outputs (Recommendations and Outputs) through organized groups and regular plenaries, supported by a knowledge base and discovery tools.
Technical Requirements
Not specified in the content; references exist to online platforms, groups, events, and the Knowledge Base, but no explicit technical requirements are stated.
Pricing Model
Not specified in the content.
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