Research Curtailment and Remote Work

Introduction

COVID-19 and UBC’s research curtailment are impacting all aspects of teaching and scholarship and changing the way we approach these activities. The Dynamic Brian Circuits (DBC) cluster will present approaches and tools which have become useful (or more useful) to enable collaboration and remote work during the COVID-19 pandemic. This meeting will be hosted by Dr. Tim Murphy (lead Dynamic Brain Circuits cluster) and consist of 5, 10 min talks: Slack Workspaces (Peter Hogg, DBC Neurodata tutor, Haas lab), Open Science Framework (Annika Wevers, DBC co-op student), remote access to computers (Jeff LeDue, DMCBH), running jobs on the Alder computer cluster (Justin Jao, Ciernia lab) and remote data analysis with Jupyterhub (Patrick Coleman, Haas lab).

Slack Workspaces

Slack is a platform that facilitates communication during remote work. Slack workspaces can be organized into channels for specific needs, and members can communicate in a group or privately. Some uses of the DBC Slack include data analysis, project collaboration, and coordinating meetings.

Join the DMCBH Slack

Join the Dynamic Brain Circuits Slack

OSF

Open Science Framework (OSF) is a free and open source project management tool. OSF enables collaboration on projects and streamlines the workflow process by integrating already existing platforms such as Dropbox and GitHub. UBC is an OSF Institution, which means researchers can affiliate their OSF account and projects with UBC and login to OSF is possible using their university credentials.

Remote Access

Remote Access to computers can be achieved in many different ways. Computers in the DMCBH NeuroImaging and NeuroComputation Centre are available for remote access with teamviewer or Microsoft Remote Desktop. Each of these computers has 6-cores and 64GB RAM and run windows and linux. Join us on the DBC slack for help with access.

Running jobs on the Alder computer cluster

DMCBH Alder is a cluster computer with 9 nodes. Alder increases the amount of work that can be done at a time by providing users with more powerful resources that can be selected based on the needs of a project. The Alder cluster has 1902 GB of RAM, 288 cores, and 512 TB of storage. Alder storage is not backed up- it is intended as “scratch” space to support calculations by providing space for raw data, processed intermediates and results.

Remote data analysis with JupyterHub

DMCBH Alder also has a JupyterHub. JupyterHub is a notebook server that allows multiple users to access a pool of resources more powerful than a single workstation for interactive analysis.