Skills4EOSC Training Courses
Skills4EOSC offers a comprehensive training program designed to equip researchers, data stewards, and other stakeholders with essential skills for navigating the evolving landscape of Open Science and the European Open Science Cloud (EOSC).
Our courses are specifically designed for Master Trainers from the Competence Centres of the Skills4EOSC network. These trainers will then disseminate knowledge and best practices within their communities, focusing on Open Science, FAIR Research Data Management, and strategies for maximising Research Impact and visibility.
By participating in our courses, you'll gain:
- Capability to support evidence-informed decision-making through Open Science
- Insights into developing and implementing Open Science policies
- Awareness of the role of Open Science in addressing global challenges and future research
- Practical skills in Open Science practices and their implementation
- Knowledge of FAIR principles and their application in various research contexts
- Strategies for effective research data management and governance
- Understanding of Ethical, Legal, and Social Implications (ELSI) in Open Science
- Skills for creating and nurturing Data Steward communities and networks
- Techniques for fostering collaboration among diverse Open Science stakeholders
Courses details
Each course listing below includes a description, target audience, level, and duration where available. Some details are still being finalized by our partners and will be updated soon.
1 - General 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
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 - Science 4 Policy courses
To get the instructor's accreditation (badge) for the “Open Science for evidence-informed decision making and public administration” curriculum, participants need to complete all 7 courses provided below.
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: 1 week (combination of self-paced and live course)
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/Intermediate
Duration: 1 week (combination of self-paced and live course)
2.3 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: 1 week (combination of self-paced and live course)
2.4 Open Science and 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 / Intermediate
Duration: 1 week (combination of self-paced and live course)
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: 1 week (combination of self-paced and live course)
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: 1 week (combination of self-paced and live course)
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: 1 week (combination of self-paced and live course)
3 - Training courses for Open Science ready Institutions
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
3.3 Learning Path for (data) librarians: Technical skills are the bridge to reproducible research.
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
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
4 - Thematic Open Science Training: Tailored Courses for Research Communities
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:
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
Duration:
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: Researchers in Climate Change
Level: Beginner/ Intermediate
Duration:
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:
5 - Training on building and animating professional networks for data stewards, researchers and thematic experts
5.2 OSC Incubator Programme
Description: The Starter Kit offers comprehensive guidance for setting up and managing an Open Science Community (OSC). It provides the rationale, design principles, and practical guidelines necessary to establish a thriving local OSC. These communities serve as vital hubs where newcomers and experienced practitioners can interact, share knowledge, and inspire each other to adopt Open Science practices and values. Participants will learn how to create an environment that fosters the identification of opportunities and challenges in Open Science, facilitates feedback on policies and infrastructure, and enhances support services. The programme also emphasises the OSC's role in bridging academia and society, creating spaces where researchers and societal stakeholders can meet, inspire, and collaborate on projects.
Who should attend: Researchers, librarians, research support staff, and anyone interested in promoting and implementing Open Science practices within their institution or region.
Level: Intermediate. Basic knowledge of Open Science principles is beneficial.
Duration:
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