This is an example workflow showing how the RSpace API can be used to send data to an external tool for analysis, and then return the results back to a specified document in RSpace. In this case we used Python to execute commands and and online version of Jupyter notebook hosted in the "kaggle" environment to perform the data analysis.
For technical information, see: https://github.com/rspace-os/rspace-client-python
November 28, 2022
We are announcing an integration with iRODS, a data discovery, workflow automation, secure collaboration, and data virtualization platform!Read more
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!Read more
October 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.Read more