Download slides:Round trip data analysis using Jupyter notebook and the RSpace API
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
January 26, 2022
A talk given as part of the January FORCE11 Open Source Community Call on the topic of "Streamlining the research lifecycle and enhancing FAIR principles with interoperable tools". We discuss our integrations with Dataverse and DMPTool.Read more
July 1, 2021
A talk that covers researcher perspectives on problems with sample tracking, presented by Harald Kusch and Robert Kossen (University Medical Center Göttingen), with a demo of RSpace's new Inventory module aimed to increase traceability and centralisation of sample data.Read more