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Round trip data analysis using Jupyter notebook and the RSpace APIThis 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
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.
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 moreJanuary 26, 2022
Julie Goldman (Research Data Services Librarian, Harvard Medical School) presents how FAIR data management at Harvard is enabled through RSpace's integrations with DMPTool and Dataverse.
Read moreSeptember 22, 2021
A short video showing a research workflow based on the integrations between RSpace, DMPTool, and Dataverse: ensuring full traceability of DMPs and research data through easy import and automatic linking.
Read moreJuly 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.
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