This slideset, provided with activities, student evaluation form and links to GitHub site including presenter notes and glossaries, is part of of Skills4EOSC WP4, T4.2 Learning Paths for data professionals package. 

The materials were adapted from the course developed as part of a pilot training for data stewards in Open Licences for Data, Software and Code. These slides and activities were delivered as redesigned local training. All the materials from the pilot are availible for reuse on this Github site. The Github site contains very detailed speaker notes

Activity three is uploaded to this Moodle. It is a case discussed during the training. The uploaded document suggests discussing the case in breakout groups (online) and each group notes their thoughts in the document before a discussion in the main group.

A report reflecting on the evaluation of the teaching by the participants and internal observers is included as supplementary material. The report points to what went well, areas for improvement and ideas for further development


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 of 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.

A Github repository contatining learning materials, activities and a facilitation guide can be found via the following link: https://task-4-2.github.io/Technical-Skills-as-bridge-to-reproducible-research/latest/.

This 2-hour long unit provides trainers with the core skills and knowledge to teach the nuances of licensing research outputs. After completing the unit, the trainer will be able to reflect on how to tailor the content of the training material to their local environment, and also leave the training with more knowledge about how and when to apply licenses to research output, while complying with funders, institutional requirements and the research discipline/aims of the project.

This pilot training is the first adaption of the Skills4EOSC pallet of learning materials about Open Licenses for Data, Software and Code. The full pallet of materials are available here in our the Github webpage and we invite you to reuse, repurpose and adapt them.


Skills4EOSC logo and funding information

Welcome to the Asynchronous Workshop for ELSI an introduction to reproducibility and using technical skills to put data management into practice.


ELSI perspectives in Open Science: An asynchronouos workshop
Aim of the courseThis learning path is in the form of an asynchronous workshop, which means there is no person in the role of an instructor or moderator that will guide you through the learning material. All participants should work together as a group and follow the instructions provided in these videos and the handouts that have already been distributed.

The idea behind the learning path organization is to create a space where ELSI related professionals will come together to discuss the barriers between legal and research practice, especially in the context of how to help researchers implement the core principles and values of Open Science. As Open Science researchers and ELSI professionals not always see eye to eye when it comes to the implementation of Open Science, it is important to spend some time and understand the problems from the research perspective, thinking about how to best support the efforts of Open Science research in an ELSI acceptable way.

To achieve this, we have prepared this learning material that is available for your review and self-reflection. The workshop in which you are participating aims to help you discuss the topics addressed in the learning material, analyse them together with your peer and colleagues so that you can share your thoughts and experiences and, in this way, deepen your expertise and provide support to each other.

LocationPhysical
Duration2 hours 
Number of attendeesmaximum 20
Expertise/skill levelESLI professionals new to Open Science
Primary LanguageEnglish
Target audienceELSI professionals and researchers
Access costNo
PrerequisitesAccess to internet, preparatory readings and access to Github
Learning Objectives
  • By the end of this workshop, you should be able to:

    • Describe the ELSI perspectives on Open Science

    • Discuss challenges in applying legal frameworks to OS research, in particular

    • Explain the core values of research from a researcher’s point of view, and their relationship to ELSI professional’s motivations and drivers

    • Identify legal issues related to the research process and outputs

    • Discuss the tools and best practices that can be used to implement the Open Science guiding principle “as open as possible, as closed as necessary”

    • Support the integration of research ethics and integrity in Open Science

    • Advice and direct researchers on how to deal with FAIR and OS in a legal way

Assessments and activities

The workshop is divided into several modules. First, before the start of the workshop you need to go through the self-paced preparatory module 0 that will provide you with the fundamentals of Open Science and the related ELSI perspectives. 

Then, during the workshops, you will start with recapping your knowledge on Open Science, explore the challenges of embracing OS, and then move into the application of different legal frameworks to Open Science research. You are going to explore the ELSI relationship to the Open Science core values and try to understand the typical needs of Open Science researchers. 

A couple of activities will take you through scenarios where you will need to identify legal, ethical and integrity challenges related to Open Science, and finally you will review some of the tools and best practices to implement Open Science directives. At the end you’ll have some time to reflect and inspect your progress.


CertificationThe "beginner badge" will be given for active participation in the workshop upon completion of the learner reflection survey.
Course learning pathThis course is a Learning Path created by Workpackage 4, Task 4.2 for data professionals, particularly aimed at Data Librarians.
DOI LinkZenodo link: TO BE ADDED
Github repository containing all teaching materials:
LicenseExcept where otherwise noted, this work is licensed under CC BY 4.0
ContactsLorna Wildgaard (lowi@kb.dk) and Benjamin Derksen (bder@kb.dk), Skills4EOSC (info@skills4eosc.eu)