We attended the online Research Notebooks Community Discussion on June 16th, hosted by the University of Glasgow and supported by JISC. The call featured case studies of electronic research notebook adoption and a wider discussion on how to enable ERN adoption. Özlem Özkan from the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) and James Wilson from University College London presented their ELN/ERN decision process and why they chose RSpace. They also detail their onboarding process and reflect on the challenges of adoption.
While the meeting was not recorded, extensive meeting notes are available.
RSpace is a fully integrated sample management and electronic lab notebook solution. Build a record of your research in an ELN that connects with the research tools you already use: request a demo or contact us to learn more.
February 20, 2023
RSpace Inventory is now publicly available for all enterprise and teams customers at no additional cost! This post includes a short video providing an overview of Inventory's key features and details on what lies ahead!
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Research Space and iRODS Partner to Enable Virtual File Storage and Meta-Data Solutions for Institutional Research Data ManagementNovember 28, 2022
We are announcing an integration with iRODS, a data discovery, workflow automation, secure collaboration, and data virtualization platform!
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RSpace @ Supercomputing 2022!November 15, 2022
RSpace is attending Supercomputing 2022 and presenting a poster on 'Building a Machine-Actionable Pipeline for Research Data' in collaboration with UCL ARC. We're also giving a presentation on the iRODS-RSpace integration and are available to chat during the event!
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Building enhanced FAIR Workflows through use of PIDs within and between interoperable research toolsOctober 4, 2022
Rory presented at an RDA session on tool interoperability in research as part of RDA's 19th Plenary, detailing how RSpace and Inventory aim to enable workflows supporting experimental reproducibility and comprehensive capture of sample data.
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