Training and Information Session
Every Wednesday | 10:00am - 11:00am | Register here | Organised by Rubbiya Ali

Please register to attend PITSCHI HOUR/FAIR Datahandling. Join us to learn about scientific data management, FAIR principles, and your data handling at the Centre for Microscopy and Microanalysis (CMM) at The University of Queensland. The weekly event helps connect the dots between the research data life cycle from your research and data generated at CMM and how to use PITSCHI in your workflow i.e. how to save data directly in your or your group’s project RDM collections from CMM instruments. We’ll address any questions and/or help you integrate your UQRDM collections with PITSCHI.

What is PITSCHI?

Particle Imaging depoT using Storage caCHing Infrastructure (PITSCHI) is a data repository for the Centre for Microscopy and Microanalysis developed and established with UQ’s partner RCC and digital services. We plan to roll out PITSCHI on all CMM data acquisition instruments. The benefit for users is your data will be copied and hosted in your “own research RDM”. So there won’t be any worries of data transfer/loss etc. An 8-month test phase has proven its functionality and ease of use.

To use PITSCHI workflow, each user needs to set up a project UQRDM collection (new or existing) to save data in your project RDM collections directly from the instrument. PITSCHI will offer, once data and metadata are transferred and extracted, to use a Web browser to navigate through your experiments and datasets, and it allows you to start data/image processing software on our high-performance computing (HPC) clusters directly out of PITSCHI. Over the years, we will enrich your datasets with more metadata, which is your research and UQ's asset.

Training details:

Title: PITSCHI: A FAIR dataset management solution for CMM scientific instruments
When: Every Wednesday at 10:00 am Brisbane
Register here

After registering, you will receive a confirmation email containing information about joining the meeting.

The training will be delivered online and cover the following contents:

  • Introduction to PITSCHI
  • What’s offered and the implemented data workflow.
  • A demonstration: How to use it on CMM instruments.
  • Data processing using UQ HPCs
  • Questions

What do we need from you?

If you have an existing UQRDM collection (Q-collection)

You can use it for your CMM project only if:

  • It is linked to your CMM project registered in RIMS.
  • It is mountable to HPCs at UQ (so-called Q-collection).

If yes, please do the following:

  1. Please add pitschi@uq.edu.au as a collaborator in the RDM.
  2. Please send the UQRDM collection number to pitschi@uq.edu.au.

 If you do not have any UQRDM collection

If you do not have a UQRDM collection that meets the above requirements, you need to create a new one and do the following:

  1. Please add pitschi@uq.edu.au as a collaborator in the RDM.
  2. Please send the UQRDM collection number to pitschi@uq.edu.au.

Have any questions or suggestions about the weekly “PITSCHI” sessions/ training?

We'd love to hear about it – please send an email to pitschi@uq.edu.au.

Below you can find useful links that will provide you with information about the user guides and training related to PITSCHI and/or help you in research computing.

PITSCHI user guideClowder data management frameworkCMM’s InstrumentsUQRDM
MeDiCIUQ HPCsRIMS booking systemFAIR data principles
Characterisation Virtual Laboratory (CVL)Wiener – HPC at UQBunya - UQ's new HPC ‘Introduction to Bunya’ webinarRCC user guides (publicly available)
RCC user guides (UQ only)

HPC Intro sessions organised by RCC

QCIF training resourcesA wide range of training courses including HPC, Unix, R and Python – run by QCIF

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