7 Steps towards Reproducible Research

This workshop aims to take you further down your reproducibility path, by providing concepts and tools you can use in your everyday workflows. It is discipline and experience agnostic, and no coding experience is needed.

We will also examine how Reproducible Research builds business continuity into your research group, how the culture in your institute ecosystem can affect Reproducibility and how you can identify and address risks to your knowledge.

The workshop can be used as self-paced or as an instructor

Licence: Creative Commons Attribution 4.0

Contact: Amanda Miotto - a.miotto@griffith.edu.au

Keywords: reproducibility, Reproducibility, reproducible workflows


Additional information

Target audience: PhD student, Professional (research-related)

Resource type: Full Course, Tutorial

Status: Active

Prerequisites:

None - no coding knowledge needed or used during the workshop.

Syllabus:

  1. What is Reproducible Research?
  2. Why does Reproducibility matter?
  3. Introducing 7 Steps towards Reproducible Research
  4. Step 1 - Planning to be organised
  5. Step 2 - Keeping your files Tidy and Organised
  6. Step 3 - Methodology and Protocols
  7. Step 4 - Documentation and writing it down
  8. Step 5 - Testing and Controls
  9. Step 6 - Automation
  10. Step 7 - Publishing, Persistent Identifiers and Preparing for Reuse

Learning objectives:

This workshop is for any level of experience and any discipline

Date created: 2024-05-01

Authors: Amanda Miotto

7 Steps towards Reproducible Research https://dresa.org.au/materials/7-steps-towards-reproducible-research This workshop aims to take you further down your reproducibility path, by providing concepts and tools you can use in your everyday workflows. It is discipline and experience agnostic, and no coding experience is needed. We will also examine how Reproducible Research builds business continuity into your research group, how the culture in your institute ecosystem can affect Reproducibility and how you can identify and address risks to your knowledge. The workshop can be used as self-paced or as an instructor Amanda Miotto - a.miotto@griffith.edu.au reproducibility, Reproducibility, reproducible workflows phd support