Technical Skills as the Bridge to Reproducible Research
Release Notes
1.0.0 (2024-01-01)
- Copy and paste similar sections at the top of the document as new versions are released.
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<details>tags. - Alter the date in the brackets to reflect the actual date when the release has been made.
Webinar
Date/Time
- 2025-01-17 (10am - 12pm CET) AND 2025-01-31 (9:30am - 11:30am CET)
Location
Training Description
- Introduction to supporting reproducible workflows for Data Librarians
- This is a learning path in three parts, on an introductory level aimed at data librarians and others who are curious about how what reproducibility is and how to implement practices that support reproducibility on a beginner level. The first module introduces the concept od reproducibility and why it is important. The second module is concerned with the reproducibility crisis and actions we can take to improve reproducibility. The third module is devoted to putting theory into practice. It combines lectures on best practices and data hygiene in file organisation with hands-on tutorials using Git, Github and Jupyter Notebooks to improve reproducibility in a collaborative environment.
Target audience
- Data Librarians and other data curious
Expertise Level / Skill Level: Beginner
Primary Language: English
Access Cost: No
Prerequisites
- No prerequisites
Duration
- 4 hours in total (2 x 2 hours over two days)
Training objectives
- Define reproducibility and replicability in the context of scientific research and explain how they are related and why they matter
- Explain what reproducible research looks like in practice
- Explain the barriers to reproducibility and how to overcome them
- Use basic features of Git repositories and Jupyter notebooks to support reproducible research in your institution
Keywords
Reproducibility, RDM, File Organisation
Agenda: Training Schedule - Day 1
| 17-01-2025/10:00am | Unit |
|---|---|
| 10:00-10:20 | Reproducibility and replicability in scientific research |
| 10:20-10:50 | What reproducibility means in practice |
| 10:50-11:00 | Coffee break |
| 11:00-11:30 | Reproducibility crisis and remedies |
| 11:30-11:50 | Case studies and activities |
| 11:50-12:00 | Introduction to Day 2 and Evaluation |
Agenda: Training Schedule - Day 2
| 31-01-2025/09:30 am | Unit |
|---|---|
| 09:30-09:45 | Technical aspects of reproducibility & replicability |
| 09:45-10:30 | Challenges related to Data Management |
| 10:30-10:40 | Coffee break |
| 10:40-11:20 | Ensuring data longevity |
| 11:20-11:30 | Toolbox and evaluation |
Resources and Materials
- All materials are available in the corresponding GitHub repo and on the Skills4EOSC Learning Platform.
Certification Information
- Learners you take part in the online training receive a badge upon completion of tasks conducted as part of the training and completing a short feedback form.
Author(s)
- Tuulikki Alamettälä, Mathilde Bernier, Mareike Buss, Benjamin Derksen, Alexandra Fogtmann-Schulz, Christine Hadrossek, Joanna Janik, Agnes Jasinska, Vojdan Kjorveziroski, Josefine Nordling, Lorna Wildgaard
Trainer(s)
- Agnes Jasinska
, Tuulikki Alamettälä , Vojdan Kjorveziroski, Mareike Buss , Josefine Nordling
Contact information
- Training organisers: Lorna Wildgaard (lowi@kb.dk) and Benjamin Derksen (bder@kb.dk).
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
https://doi.org/10.5072/zenodo.1234567
Accessibility Mission
Skills4EOSC is dedicated to ensuring that all produced learning materials are accessible to as many visitors as possible regardless of their ability or technology. We have an active commitment to increasing our learning materials accessibility. The main standards that we aim to comply with are WCAG v.2.1 Level AA criteria and PDF/UA (ISO 14289).
Acknowledgement
These learning materials have been developed by following the FAIR-by-Design Methodology.
