Information Services Division


Remote research - tools and tips


For many of us remote working is a substantial shift from our normal working patterns. It is very different from simply working in a different location, and requires a range of adaptations to work well. This page focuses on technological aspects: tools and resources to enable effective remote work in various ways. It has been produced from the experiences of Research IT Services staff and their contacts, listing things we are aware have been used effectively. We will extend or adapt this list as we find out more!

Many of the tools mentioned here are free to use (up to a point) but researchers should be wary of becoming over reliant on free services provided by third parties and ensure that any important data is copied and safely backed up elsewhere.

Your work environment

General guides to remote working


Managing your desktop

Collaborative working

Note taking

OneNote in Teams

If you’re using Teams, a new OneNote notebook is automatically created when a new Teams site is set up which you can access by clicking on the Staff Notebook or Notes tab at the top of whichever channel you’re in. You can also add an existing OneNote notebook to a channel by adding a new tab.

Google Docs

With Google Docs you can collaborate simultaneously on documents, spreadsheets, slides and forms via your web browser. The permissions model allows you to share documents with specific people (google account required) or anyone with the link (no google account required) and you can give people permission to either view, comment, or edit shared documents. You can use your UCL email to set up a Google account, making it easier for colleagues to find you.

Other options

Etherpad - a simple, plain text, no account needed text editor. There are some public instances that can be used.

Hack.md - like etherpad but using markdown syntax for simple formatting.

Codi.md - another markdown-based collaborative editor.

Explain Everything online whiteboard.

Pair programming

These tools facilitate programming together with another person on the same piece of code; both the agile practice of pair programming as well as more informal programming assistance.

  • Floobits brings real-time collaborative editing to many different integrated development environments (IDEs) and text editors.
  • Visual Studio live share works well if you’re using Visual Studio or VS Code for development.
  • Gobby is primarily a collaborative text editor, but can be used for program source code.

High performance computing

Remote access (SSH) and the command line

High performance computing platforms like UCL’s Myriad and Kathleen clusters require users to interact with them via the command line. This means users must first be able to login from their own computer using a SSH client, and they must also know how to interact with the system using a command line interpreter such as Bash. 



  • The RITS course “Introduction to the Shell” covers navigating and working with files and directories through to writing basic scripts.
  • Software Carpentry has a module introducing the Unix Shell to novice users.
  • Learning Bash Scripting” is a more advanced course on LinkedIn Learning, which introduces features such as loops, functions, reading and writing files etc.

Programming for scheduled systems

Most academic HPC systems operate a job scheduler, which requires users to write and submit job scripts to a queue. For this to work the job scripts have to be able to run the job from start to finish without any user interaction. In order to automate your programs so that they can run as non-interactive jobs on a HPC system, you may need to add functionality such as the ability to read the contents of a directory, read and write files, and respond to arguments provided when the program is called; e.g. the name of an input file (this can be useful when you want to submit an array of jobs, each with different input).


  • See the Working with files module from our Introduction to Research Programming with Python course
  • The Python Command-Line Programs lesson from Software Carpentry demonstrates how to use arguments to control behaviour, work with input files, and read from standard input.
  • The Argparse module is the recommended command-line parsing module in Python (see the Argparse tutorial)


  • For R scripts, try the argparser package which is written purely in R and has no external dependencies
  • The R Command-Line Programs lesson from Software Carpentry demonstrates how to use arguments to control behaviour, work with input files, and read from standard input.

Estimating resource requirements

Another important requirement for using HPC systems is to be able to estimate the resources (run time, processor cores, memory etc.) you will need to request for your jobs: too little and your jobs won’t finish in time before they are cut off; too much and you’re jobs will spend time waiting in the queue unnecessarily waiting for the resources you’ve requested to become available.

Research Data

Research data management

Digital resources and repositories

A non-exhaustive list of potentially useful digital resources to explore.

SAGE Research Methods


This site brings together a huge collection of SAGE publications to provide researchers with any easy way to find guidance on research methods, statistics and project design.



The registry of research data repositories is good place to start when searching for existing data to re-use.

Box of Broadcast


National is an off-air TV and radio resource for UK higher and further education institutions to which UCL subscribes. You can view or listen to programmes, make clips, playlists and share with other BoB (Box of Broadcasts) subscribers.

Grey literature

Content from non-commercial private or public entities in the form of reports, pamphlets, bulletins, newsletters, trial data, working/technical papers, posters, guidelines, policy documents etc.

See “Where can I find grey literature?” from the IOE LibGuides

UK Data Archive


Home to the largest collection of digital social, economic and population data in the UK.