Engaging with the Research Data Alliance
The Value of the Research Data Alliance to Individuals
Any individual, regardless of profession or discipline, with an interest in reducing the barriers to data sharing and re-use and who agrees to RDA’s guiding principles can join the RDA Community and Individual Membership is free of charge. See here.
WHY SHOULD INDIVIDUALS ENGAGE WITH RDA?
CONTRIBUTE TO DEBATES, RECOMMENDATIONS AND OUTPUTS
- Propose new topics for discussion and possible new recommendations
- Create and shape RDA's future Recommendations and Outputs
- Engage with the Working and Interest groups of RDA
- Participate in exciting and global discussions on FAIR data principles and beyond
- Contribute to the practical development of concrete solutions
- Access and adopt/implement a Recommendation or Output from RDA
- Learn from lessons learnt by others and from their good practices for your own activities
BECOME PART OF THE COMMUNITY
- Access an extraordinary network of colleagues with a broad set of experiences, perspectives, practices, and intellectual frameworks relevant to data-driven innovation
- Become a voice for RDA and data interoperability in your organisations, sectors, markets and geographies
- Have a voice in RDA, providing advice and counsel on the needs of your sectors and the problems faced in data exchange
RECEIVE THE LATEST INFORMATION
- Receive regular updates on the work of the RDA
- Receive a 6-monthly report on the activities of RDA
PARTICIPATE IN PLENARIES/MEETINGS
- Participate in RDA scientific meetings
- Participate in bi-annual RDA Plenary Meetings, workshops and elections
- Participate in RDA voting processes
GAIN EXPERIENCE AND PROFESSIONAL DEVELOPMENT
- Gain greater experience and expertise in all stages of data lifecycle, and in data-related research, including data science regardless of whether one is a student, early or seasoned career professional
- Enhance the quality and effectiveness of personal work and activities
- Participate in an international network of people from different backgrounds
- Improve your competitive advantage professionally and position yourself for leadership within the broader research community
The Research Data Alliance’s vision is Researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society
The Research Data Alliance (RDA) is a community-driven organization whose mission is to develop the social and technical data infrastructure needed to drive innovation surrounding data sharing and data interoperability. Established in 2013, RDA supports more than 9,615 international members representing 137 countries (January 2020), has generated 32 concrete outputs (eight of which are recognized as European ICT technical specifications) with over 75 documented adoption cases (January 2020).
RDA is composed of two equally important components that support RDA’s vision. The distinctions between these components are important in understanding the value and engagement possibilities.
- The Work of RDA is done by the volunteer community through self-formed, focused Working Groups and exploratory Interest Groups to build the social and technical connections or bridges.
- The Business of RDA is to support that community and facilitate the building and using of the bridges that enable open sharing of data.
RDA is a global forum shared by individuals engaged in research data sharing, whatever their profile. Active members include, among others, researchers, librarians, IT specialists, project managers, working in academia, research funding organisations, NGOs, the public and the private sector. There are several different ways for an individual to get involved with the RDA.
For the complete RDA Value statement for Individuals click here
 RDA Outputs are the technical and social infrastructure solutions developed by RDA Working Groups or Interest Groups that enable data sharing, exchange, and interoperability. These Outputs have an important impact in two areas: solving problems, and incorporation and/or adoption in infrastructure environments by individuals, projects and organisations. RDA Outputs have the following classifications: 1. RDA Recommendations; 2. Supporting Outputs; 3. Other Outputs