RSpace Overview for the Open Cloud Workshop 2020

In a talk for the Newcastle Bioinformatics Special Interest Group (http://bsu.ncl.ac.uk/fms-bioinformatics) I explored the topic of reproducibility. Looking at the pros and cons of pipelining analyses, as well as some tools for achieving this. I also considered some additional tools for enabling reproducible bioinformatics, and look at the 'executable paper', and whether it represents the future for bioinformatics publishing.

Overview of an electronic lab notebook running in an open research cloud

Gesundheit & Medizin

RSpace overview
2020 Open Cloud Workshop
Rory Macneil
March 2, 2020

What is RSpace
 Enterprise-scale electronic lab notebook designed
for use in large research institutions
 Digital data hub for research groups in life sciences
and related disciplines
 Active data management tool that integrates with
data repositories to facilitate active data  archival
data flow

What makes RSpace distinctive
 Flexibility
 Connectivity/interoperability/extensibility
 Traceability
 Support for molecular biology AND chemistry
 Product development through customer relationships
o Wisconsin: original design
o Edinburgh and Goettingen: linking to file stores
o Harvard: Dataverse and chemistry

The Connected Approach enables
inter-operability and supports reproducibility

RSpace in the Harvard Data Commons:
Available March/April 2020

RSpace in the NERC:
2020 – 2021 pilot starting soon

NERC pilot:
Explore transformative potential of
electronic lab notebook being local to the data
center where storage and compute are located
 RSpace integration with R/Python notebooks to bridge
the divide between wet labs and computationalists
 Enhanced synergies with other tools (e.g. Dataverse)
 Multi-campus collaborations

Try it yourself!
Free fully featured version at
https://community.researchspace.com/signup

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