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RoRI and FAIRsFAIR to partner on FAIRware initiative | Funders across UK, Europe and Canada join forces to develop new open research tools.

FAIRsFAIR will partner with the Research on Research Institute (RoRI) in FAIRware, a new initiative to build open source software tools and systems with the potential to transform uptake of the FAIR principles by researchers.

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FAIRware is one of five flagship projects launched by the Research on Research Institute (RoRI) in June 2020 and brings together global funding agencies, researchers and a community of developers with the aim of increasing adoption of the FAIR principles. It is led by a consortium of five research funders: Wellcome, the Austrian Science Fund, the Canadian Institutes of Health Research, the National Institute for Health Research (UK), and the Swiss National Science Foundation. FAIRware will analyse research systems and experiment with new tools and approaches to science funding. RoRI will publish a Request for Proposals on Monday 28 September calling for partners to work with Wellcome’s Data Labs team to design, build and embed FAIRware as an open source community project. As a European Commission funded taskforce delivering an extensive programme to develop and implement global standards for FAIR certification of repositories and the data within them as a core element of the European Open Science Cloud, FAIRsFAIR will play an active role in the FAIRware project and ensure that it builds upon, and aligns with its existing activities. Danil Mikhailov, co-founder and associate director of the Research on Research Institute and Head of Wellcome Data Labs said: “The partners in FAIRware are thrilled to be working with FAIRsFAIR to advance our shared goal to accelerate adoption of the FAIR principles and support researchers in maximising the value of data and other research outputs.” Said FAIRsFAIR Coordinator Ingrid Dillo, “The collaboration with the RoRI FAIRware project comes at a time when FAIRsFAIR is introducing new tools and software to help researchers and data managers assess the level of FAIRness of datasets and repositories. This strategic partnership will help us test and develop new approaches in light of a concrete, affordable and effective FAIR implementation by the research community.” About FAIRware FAIRware is an initiative of the Research on Research Institute (RoRI) led by a partnership of the Austrian Science Fund (FWF), Canadian Institutes of Health Research (CIHR), National Institute for Health Research (NIHR), Swiss National Science Foundation (SNSF), and the Wellcome Trust. Through an RFP to be published on Monday 28 September, the FAIRware group will seek partners to work with Wellcome Data Labs and our partners FAIRsFAIR to leverage the use of software and creative systems design to encourage widespread uptake of the FAIR principles among researchers. Applicants will be encouraged to submit innovative proposals which challenge our thinking on how best to achieve the desired behaviour changes. Proposals will be welcomed from software developers, user researchers, systems theorists and/or those working in adjacent spaces – and applications from teams combining approaches from across these domains will be particularly encouraged. Prospective applicants and other interested parties should direct any queries to Adam Dinsmore, Programme Manager at the Research on Research Institute at About RoRI RoRI is an international consortium of research funders, academic institutions and technologists working to champion transformative & translational research on research. By analysing research systems and experimenting with new tools, indicators and evaluation frameworks, we aim to advance more strategic, open, diverse and inclusive research. Visit our website and follow @RoRInstitute on Twitter. About FAIRsFAIR FAIRsFAIR - Fostering Fair Data Practices in Europe - aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR.