What can I do to make my next article (more) reproducible?

UJI Doctoral School’s cross-disciplinary training course on recommendations and best practices about open and reproducible research - Academic year 2022/2023.

This introductory course is currently scheduled to be offered in 2 or 3 weeks. While the course is running, some material might not be visible and will be unlocked as the course proceeds. At any other time, this website is continuously online, with small updates happening on an ongoing basis and larger updates every time the course is offered again.

Course identification

Code/Name: MI007.TMP - Reproducible Research Practices

Duration: 6 hours (up to 20 hours including attendance and self-directed work)

Dates: 18 and 25 April, 2 May 2023, from 10 to 12

Room: TD2203AA

Teaching language: English (Note: in Spanish even years, in English odd years)

Teaching staff:

• Carlos Granell
  Associate Professor in Computer Science
  Office UB1520DD, Espaitec2, 5th floor
  Universitat Jaume I, Spain

• Sergi Trilles
  PostDoc - JdC
  Office UB-1518DD, Espaitec2, 5th floor
  Universitat Jaume I, Spain

Detail course description in Spanish and English

Purpose

This course emphasises the principles and strategies of open science and reproducible research practices and gives you practice in their application to present scientific and technical material in an informative and clear manner.

We are not talking about “learning to programme” as a course objective or “knowing how to programme” as a previous requirement. Of course, an open mindset is presupposed so that the course participants can incorporate new practices/recommendations into their research process.

Learning outcomes

Briefly, the course’s learning outcomes are to help you:

• [RRP01] Recognise the importance of (computational) reproducible research as a fundamental pillar of open science.
• [RRP02] Compare and contrast the RE-* terms (reproduce, replicate, recreate, etc) within the context of each participant’s own discipline.
• [RRP03] Describe and distinguish the reproducibility criteria.
• [RRP04] Assess participants’ own work according to the reproducibility criteria.
• [RRP05] Organise a research project to facilitate reproducibility, openness and reuse.
• [RRP06] Contrast the main families of licences for software and data.
• [RRP07] Understand the value of combining questions, source code and outcomes.
• [RRP08] Apply notebooks to the documentation of computational analyses.
• [RRP09] Design and create notebooks for producing academic articles, technical reports or presentations.
• [RRP09] Create a Reproduction Plan and reflect on the next steps to achieve it.

Getting started

This web site is the main theatre entrance to the play of reproducible research practices, and participants, you all, are the main performers! To start, click on casting to get general information about the course, such as the code of conduct, roles in the play (or learning persona) and the acts (or course schedule). Tonight’s play, with acts and scenes, is ready to be performed on the stage. If you like it, feel free to go backstage to inspect additional documents and materials to go deeper into this topic. If you really, really love the topic (and read Spanish), meet the crew behind the curtain.

Acknowledgements

This course was developed and is maintained by Carlos Granell. Nevertheless, the following individuals have contributed to improving the course: Daniel Nüst, Frank Ostermann, Markus Konkol.

The course materials are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Linked materials are governed by their own licenses. I assume that all external materials used here are covered under the educational fair use policy. If this is not the case and any material displayed here violates copyright, please let me know and I will remove it.