Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published March 31, 2022 | Version v1
Presentation Open

Network Know-how and Data Handling Workshop

  • 1. AARNet

Contributors

Related person:

  • 1. Biocommons

Description

This record includes training materials associated with 'Network Know-how and Data Handling' workshops offered by Australia's Academic Research Network (AARNet). The workshops are delivered to library and eResearch staff at universities, as well as researcher communities, as train-the-trainer events, part of a broader infrastructure literacy strategy.

This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated tools, data and storage and where all these things fit in the researcher’s toolkit.

This workshop is targeted at staff who would like to be more confident in giving advice to researchers about the options available to them. It is especially tailored for those with little to no technical knowledge and includes a hands-on component, using basic programming commands, but requires no previous knowledge of programming.

Learning objectives

By the end of this workshop you should be able to:

  • Understand the basic differences between the different Internet technologies and connection types and in Australia and how to make the most of them
  • Describe and define different network and data movement concepts (jargon busting)
  • Perform speed, ping and traceroute tests to check your Internet connection.
  • Calculate data transfer times.
  • Understand various network and connectivity constraints.
  • Transfer large amounts of  data via the network.
  • Sync, store and share your research data safely.
  • Search for more advanced options for data movement and know where to go  for help.

Files

Files (9.2 MB)

Name Size Download all
md5:c1ecde1691c7b7141225bd64325dee88
33.0 kB Download
md5:0507934c023429cedcb1b193b052384d
9.2 MB Download