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  • About Us
    • Who We Are
    • Our People
    • Governance
    • Membership Benefits
    • Our Members
    • Case Studies
    • Our Policies
    • Acknowledging QCIF
  • Services
    • Cloud Computing
    • High-Performance Computing
    • National Software Platforms
    • Software Solutions
    • Bioinformatics & Biostatistics
    • Sensitive Data
    • KeyPoint Secure Vault
    • Skills Development
    • Grant Support
    • Research Data Management
    • ReDBox
    • Data Storage
  • Training
    • About Our Training
    • Course Catalogue
    • Training Calendar
    • Training Resources
  • Support
    • eResearch Analysts
    • eResearch Tips
    • Hacky Hour
    • QCIF Members’ Advice
    • Biostatistics Clinics
    • Good Data Guidelines
    • Data Submission to International Repositories
    • QRIScloud Support
  • News & Events
    • News
    • Events
    • Newsletters
  • Contact Us

Data Sharing and Reproducibility

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  2. Training & Courses

Containers for Reproducible Computational Environments

By Mark Crowe1 April 2022

Discover software containers – a reproducible standardised transferrable way to run research software

A Guide to Reproducible Research

By Mark Crowe4 March 2022

A webinar exploring why and how you should make your research findings reproducible

Genome Annotation with Apollo

By Rizve Joarder23 February 2022

Use the Australian Apollo service to visualise and collaboratively annotate genomic contents

Version Control with Git

By Rizve Joarder1 March 2021

Learn how you can record and trace every change made to a document, be it software code or a thesis.

Data Capture and Management with REDCap

By Rizve Joarder1 March 2021

Our series of modular REDCap training workshops.

Making Your Research Data FAIR

By Mark Crowe2 February 2021

Making your data FAIR helps improve the visibility of your research and encourages collaborations and citation.

Introduction to Reproducible Research

By Mark Crowe2 February 2021

Find out why reproducibility is so important, and learn how to make your research more reproducible.

Working with Sensitive Data

By Rizve Joarder19 March 2020

Sensitive data requires special approaches and management, covered in this practical and discussion-based workshop

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