Skills4EOSC Training Courses

1.1 Training of Trainers Guide

Description: "How to teach Open Science". This session will provide trainers with a comprehensive guide to teaching Open Science concepts. Participants will learn about the key principles, methodologies, and resources necessary to train others on Open Science practices effectively.

• Who should attend: Trainers
• Level:
• Duration:

1.2 Best practices in developing presentations and delivering training

Description: Applying key principles of Skills4EOSC to presentations and adhering to FAIR-by-Design guidelines. This course covers steps to developing presentations, applying FAIR-by-Design methodology to presentations, and delivering training focused on speech and how to conduct training.

• Who should attend: Trainers, training materials designers
• Level: Beginner
• Duration: 2 hours

1.3 Implementing FAIR-by-Design Methodology

Description: This course focuses on the practical application of the FAIR-by-Design methodology developed by Skills4EOSC. Participants will learn how to design and implement FAIR data practices in their projects.

• Who should attend: Master Trainers, project managers, data stewards, and researchers involved in project design.
• Level: Beginner
• Duration: 2 and ½ days
• Link: learning resources

1.4 How to use different interaction tools

Description: Applying interaction tools during online training sessions. This session will present common tools for interaction in remote training sessions. Specific tools like Wooclap and functionalities built-in in common video-conferencing tools like BBB, EU Survey will be introduced along with possible applications.

• Who should attend: Trainers
• Level: Beginner
• Duration: 2 hours

1.5 Ethics and RRI

Description: This course will explore the ethical considerations and Responsible Research and Innovation (RRI) principles within the training context. Participants will explore the importance of ethical conduct in research and learn how to integrate RRI practices into their training programs.

• Who should attend: Trainers, researchers
• Level:
• Duration:

2.1 Open Science is the new norm

Description: This course introduces the paradigm shift towards open science, exploring its fundamental principles and impact on society. It delves into accountability and transparency and contrasts open science practices with traditional closed science models. Participants will gain a foundational understanding of how open science promotes collaboration and innovation and the basic concepts and societal implications of open science.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Date: October 18 2024 at 10.00am (until 12.00pm)
• Type: Both asynchronous and synchronous
• Link: learning resources

2.2 ELSI and Data Governance

Description: This course will cover the legal and ethical frameworks and considerations for implementing OS practices. Additionally, participants will examine the challenges and opportunities for Open Science within the EU regulatory framework, focusing on data governance and legislative strategies for FAIR (Findable, Accessible, Interoperable, Reusable) research.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Date: October 25 2024 at 10.00am (until 12.00pm)
• Type: Both asynchronous and synchronous
• Link: learning resources

2.3 Introduction to Evidence-informed Decision-Making

Description: This course bridges the gap between open science and the practice of evidence-informed decision-making. It delves into the role of policy, the integration of evidence in decision-making processes, and the stakeholders involved. Participants will learn about open science outputs and tools that support decision-making, and how to interpret statistical data to derive actionable insights.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Date: November 15 2024 at 10.00am (until 12.00pm)
• Type: Both asynchronous and synchronous
• Link: learning resources

2.4 Open Science Stakeholders and Collaboration Strategies

Description: This course focuses on identifying and engaging with the diverse stakeholders involved in open science. It explores effective collaboration strategies to foster partnerships among researchers, institutions, policymakers, and the public. Participants will learn how to navigate the complex landscape of open science collaborations to maximise research impact and innovation.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Date: November 8 2024 at 10.00am (until 12.00pm)
• Type: Both asynchronous and synchronous
• Link: learning resources

2.5 Empowering the Future of Research with Open Science

Description: This course explores how open science can shape the future of research and decision-making, emphasising investment, capacity building, and integrating advanced technologies like AI. Participants will learn the importance of investing in open science, developing training programs, and leveraging AI to enhance research practices and support evidence-informed decision-making.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Type: Both asynchronous and synchronous
• Link: learning resources

2.6 Open Science policies support Open Science practices

Description: This course explores how open science policies underpin and facilitate the adoption of open science practices. It examines the roles of stakeholders, the challenges and barriers to implementation, and the cultural shifts necessary for successful adoption. Participants will also learn about responsible research assessment and review successful case studies of open science policy implementation.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Date: November 29 2024 at 13.00am (until 15.00pm)
• Type: Both asynchronous and synchronous
• Link: learning resources

2.7 Implementing Open Science policies

Description: This course delves into the practical aspects of developing and implementing open science policies. It covers profiles of key policymakers, essential elements for effective policy development, the integration of open science workflows, and strategies for monitoring and evaluating the impact of these policies.

• Who should attend: Master trainers, Policy Actors (Decision Makers, Civil Servants, Honest Brokers)
• Level: Beginner
• Duration: 2-3h self-paced + 2h live course (Registration and access to the self-paced material will be available 1 week prior to the course – it is important to have studied the self-paced material before the participation in the live course)
• Date: December 6 2024 at 13.00am (until 15.00pm)
• Type: Both asynchronous and synchronous
• Link: learning resources

3.1 Open Licences for Data Software and Code

Description: This 2-hour training unit equips trainers with essential skills to teach research output licensing. It covers adapting content to local contexts, applying for licences throughout projects, complying with funder and institutional requirements, and aligning with research discipline and project aims.

• Who should attend: Data Stewards and data professionals with basic knowledge of rights to research output
• Level: Intermediate
• Duration: 2h

3.2 Learning path for ELSI professionals: highlighting challenges in legal frameworks from the perspective of research

Description: This course introduces legal drivers and motivations behind key regulations like the AI Act and GDPR, explaining their aims and common challenges in interpretation and application. Through practical discussions and case studies, it connects legal aspects to researchers' commitments to FAIR principles, reproducibility, and Open Science goals. It examines the implications of laws on research from both ELSI (Ethical, Legal, and Social Implications) and researcher perspectives, addressing potential frictions and opportunities created by regulations like the AI Act.

• Who should attend: ELSI professionals and researchers
• Level: Beginner
• Duration: 2 hours
• Date: January 10 2025

3.3 Learning Path for (data) librarians: Technical skills are the bridge to reproducible research.

• Part 1: Introduction and how to support reproducibility

  Description: This course focuses on technical skills as key enablers of reproducible research. It covers the distinction between reproducibility and replicability, emphasising the crucial role of technical aspects in achieving reproducibility. It explores the importance of responsible research conduct and Open Science principles concerning reproducibility. Participants will reflect on the data librarian's role in supporting reproducible research, considering various disciplinary requirements, issues, and tools. It also provides insights into technological solutions such as programming and data wrangling, enabling librarians to recommend methodologies that promote good practices for more reproducible and responsible research.

  • Who should attend: Data librarians and data curators
  • Level: Beginner
  • Duration: 2 hours
  • Date: January 17 2025
  • Type: Asynchronous workshop

• Part 2: the technicalities

  Description: This course focuses on technical skills as key enablers of reproducible research. It covers the distinction between reproducibility and replicability, emphasising the crucial role of technical aspects in achieving reproducibility. It explores the importance of responsible research conduct and Open Science principles concerning reproducibility. Participants will reflect on the data librarian's role in supporting reproducible research, considering various disciplinary requirements, issues, and tools. It also provides insights into technological solutions such as programming and data wrangling, enabling librarians to recommend methodologies that promote good practices for more reproducible and responsible research.

  • Who should attend: Data librarians and data curators
  • Level: Beginner
  • Duration: 2 hours
  • Date: January 31 2025
  • Type: Online

3.4 Open Science Course for Undergraduates

Description: This course provides undergraduate students with essential knowledge and skills in Open Science and research data management, preparing them for modern research practices in their studies and future careers. The curriculum covers fundamental concepts and practical applications across six comprehensive modules: Open Science foundations, Open Access principles, Copyright and Licensing essentials, Research Data Management basics and practical implementation, and strategies for maximising Research Impact and visibility. Through this course, students will gain a solid understanding of open and transparent research practices, equipping them to contribute effectively to the evolving landscape of academic and scientific work.

• Who should attend: Undergraduate university students
• Level: Beginners
• Duration: Self-pace
• Date: June 19 2025
• Link: learning resources

4.1 Training for RI professionals (under development)

Description: The course covers essential aspects of Open Science and FAIR principles as they apply to research infrastructures. It focuses primarily on designing and implementing practices, policies, and management plans by practitioners who support digital research, in alignment with the competencies required for professionals managing research facilities and services.

• Who should attend: RI managers, operators and professionals
• Level: Beginner/intermediate
• Duration:

4.2 SSH researchers and OS

Description: This training course is designed for Social Science and Humanities (SSH) researchers, structured around three main modules that follow the research lifecycle: planning research, active research, and dissemination and preservation. The course primarily focuses on two key topics. First, it explores the characteristics, usage, and role of various scholarly communication outputs within the SSH research environment. Second, it delves into FAIR principles and Research Data Management (RDM) aspects as they apply to a wide range of scholarly communication outputs, including articles, books, annotations, corpora, and critical editions. By addressing these topics across the research lifecycle, the training aims to equip SSH researchers with comprehensive skills in managing and optimising their research outputs in alignment with open science practices and FAIR principles.

• Who should attend: Researchers in the Social Sciences and Humanities
• Level: Beginner / Intermediate
• Duration: 3 half-days
• Type: Synchronous

4.3 The Research community in Solid Earth Sciences

Description: This training course is designed primarily for researchers, PhD students, and faculty members in the field of Solid Earth Sciences who wish to explore the practical application of Open Science (OS) and Research Data Management (RDM). The program is structured to demonstrate how Open Science and FAIR (Findable, Accessible, Interoperable, Reusable) principles are concretely implemented in the EPOS (European Plate Observing System) portal. Through practical examples and case studies, participants will gain essential skills to understand the importance of Open Science in the context of Earth Sciences, apply FAIR principles in geoscientific data management, effectively use the EPOS portal for research and data sharing, and integrate Open Science practices into their research work.

• Who should attend: Researchers, PhD students, teachers
• Level: Beginner/Intermediate
• Date: January 27-30 2025 1st part Asynchronous + 31 live (10:00 - 11:00);
  February 3-6 2025 2nd Part Asynchronous + February 7 Live (10:00 - 12:00)

4.4 Open Science for Early Career Researchers in Climate Change

Description: This course is designed for early career researchers in climate change affiliated with Research Performing Organizations (RPOs). It covers the entire research cycle through four modules: Planning, Active Research, Dissemination, and Access & Re-use. Participants will learn about data lifecycle, research data management, Open Science and FAIR principles, and data management planning. The course introduces major climate science infrastructural initiatives and emphasises the importance of understanding Open Science policies and practices in the climate change domain. It aims to equip junior researchers with the skills needed to conduct transparent, collaborative, and impactful climate research.

• Who should attend: Climate Science researchers
• Level: Beginner/ Intermediate
• Duration: 2 half-days
• Date: February 20-21 2025
• Type: Blended

4.5 Open Science Skills for Digital Museum Collections (under development)

Description: This course teaches data curators and scientists how to digitise museum collections and make them openly accessible. Participants learn to apply FAIR principles, use standardised metadata, and create sustainable digital repositories. The training covers digitisation techniques, data visualisation, and collection management, emphasising the transformation of physical artefacts into "Open Collections". This course aims to enhance the accessibility and value of scientific collections for global research, bridging the gap between traditional museum practices and modern digital accessibility standards.

• Who should attend: Digital curators in Galleries, Libraries, Archives and Museums (GLAMs)
• Level: Beginner/ Intermediate
• Duration: