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Technical Skills as the Bridge to Reproducible Research

Release Notes

1.0.0 (2024-01-01)

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Webinar

Date/Time: 2025-01-17 (10am - 12pm CET) AND 2025-01-31 (9:30am-11:30am CET)

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Location

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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 reproducbility 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

Beginner level

Primary Language: English

Access Cost: N

Prerequisites

  • if any

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 reproducibilty & 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

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Certification Information

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Author(s)

  • Tuulikki Alamettälä, Mathilde Bernier , Mareike Buus, Benjamin Derksen, Alexandra Fogtmann-Schulz, Christine Hadrossek, Joanna Janik, Agnes Jasinska, Voydan Kjorveziroski, Josefine Nordling, Lorna Wildgaard

Trainer(s)

  • Agnes JasinskaORCID logo, Voydan KjorveziroskiORCID logo, Marieke BuusORCID logo , Josefine Nordling ORCID logo

Contact information

  • Training organisers: Lorna Wildgaard (lowi@kb.dk) and Benjamin Derksen (bder@kb.dk).

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI TO ADD

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.

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