Skills4EOSC Training Courses
All Skills4EOSC training courses are now available in self-paced mode on the Skills4EOSC Moodle platform and on Zenodo, supporting the reuse of learning materials across communities. This includes the courses that were originally delivered in hybrid mode during the project, as part of the Master Trainers’ programme.
This page provides an overview of the courses, including a short description, target level, and direct links to the materials.
Through our self-paced 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
Course index
Skills4EOSC Training Courses - Zenodo
click on the course title to see the details
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.
3 - Training Courses for Open Science Ready Institutions
- Open Licences for Data Software and Code
- Open Licenses for data - local training Danish open access week
- Learning Path for ELSI professionals: ELSI perspectives in Open Science
- Learning Path for (data) librarians: Technical skills are the bridge to reproducible research.
- Teaching Open Science and Research Data Management for Undergraduates
- Shaping Open Science Champions: A Train-the-Trainers Course for Educators of PhD Candidates
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 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
- Link: Learning resources
Access materials on Zenodo
1.2 YAICOS (Yet Another Introductory Course on Open Science)
Description: Introduction to Open Science principles and core practices.
- Who should attend: Early career researchers, students, and anyone new to Open Science.
- Level: Basic
- Link: Learning resources
Access materials on Zenodo
1.3 How to use EU survey
Guide to effectively using EU Survey for data collection and analysis
- Who should attend: Researchers, data stewards, project managers and administrative staff involved in surveys or data collection.
- Level: Basic
- Link: Learning resources
Access materials on Zenodo
1.4 Best practices in developing presentations and delivering training
Description: Techniques to develop effective presentations and deliver high-quality training.
- Who should attend: Trainers, educators, and anyone delivering workshops or presentations.
- Level: Intermediate
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
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
- Link: Learning resources
Access materials on Zenodo
3 - Training courses for Open Science ready Institutions
3.1 Open Licences for Data Software and Code
Description: This 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
- Links: Round 1: github - LearningPlatform - Zenodo
- Links: Round 2: github - Access materials on Zenodo - file mbz - This interactive element guides learners through considerations about choosing a license Learning platform
3.2 Open Licenses for data - local training Danish open access week
Description: Techniques to develop effective presentations and deliver high-quality training.
- Who should attend: Research managers, data stewards, librarians, and staff responsible for Open Access and data licensing.
- Level: Intermediate
- Link: Learning resources
Access materials on Zenodo - file mbz
3.3 Learning path for ELSI professionals: ELSI perspectives in Open Science
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
- Links: Round 1: Learning Platform, Zenodo
- Links: Round 2: Learning Platform, Zenodo - file mbz
3.4 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
- Links: learning resources, Github, Zenodo - Instructor Notes, Zenodo - file mbz
3.5 Teaching Open Science and Research Data Management for Undergraduates
Description: This course is designed to prepare trainers for delivering the online course Introduction to Open Science and Research Data Management to undergraduate students. It provides trainers with a thorough understanding of the course content, structure, and assignments. Trainers will explore the six course modules: Introduction to Open Science, Open Access, Copyright and Licensing, Introduction to Research Data Management, Research Data Management in Practice, and Research Impact and Visibility. By completing the course, trainers will become familiar with both the course content and practicalities, equipping them with the knowledge and confidence to offer the course to their students.
- Who should attend: Educators and trainers responsible for teaching undergraduate university students
- Level: Beginners
- Link: Learning resources
Access materials on Zenodo - file mbz
3.6 Shaping Open Science Champions: A Train-the-Trainers Course for Educators of PhD Candidates
Description: This "train-the-trainers" course invites educators to become mentors guiding PhD candidates towards a more open, transparent, and collaborative research landscape, giving them “a ticket 2 Open Science”. Participants will navigate key Open Science stations, including open access publishing, FAIR data principles, research data management, and responsible research and innovation (RRI). Throughout this journey, trainers will not only gain foundational knowledge but also acquire practical teaching strategies to engage doctoral students as future Open Science champions.
- Who should attend: PhD mentors, Mid-senior career researchers, and/or academic staff responsible for delivering Open Science training to doctoral students.
- Level: Intermediate
- Link: Learning resources
Access materials on Zenodo - file mbz
4 - Thematic Open Science Training: Tailored Courses for Research Communities
4.1 SSH researchers and OS
Description: The Train of Trainers is part of OPERAS participation in the Skills4EOSC project, and consists of 4 Modules, with individual lectures within each Module. The course targets SSH scholars working as active researchers at any career stage, and staff like librarians, editors or research infrastructure professionals supporting the SSH research community. SSH is characterised by a diversity of sub-disciplines and there are distinct challenges in how to manage complex topics such as data management, ethics, and publications. This training focuses specifically on the issues faced by SSH scholars and try to provide a platform and ideas for all participants to confidently deliver training in their own context.
- Who should attend: Researchers in the Social Sciences and Humanities
- Level: Beginner / Intermediate
- Link: Learning resources
Access materials on Zenodo - file mbz
4.2 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
- Link: Learning resources
Access materials on Zenodo- file mbz
4.3 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
- Link: Learning resources
Access materials on Zenodo- file mbz
4.4 Open Science Skills for Digital Collections Curators
Description: This course teaches curators and scientists how to digitise object-based collections and make them openly accessible. Participants learn to apply FAIR principles, use standardised metadata, and create sustainable digital repositories. The training covers from digitisation techniques and data visualisation, emphasising the transformation of physical artefacts into "Open Collections", to ethical and legal aspects of managing digital open collections. This course aims to enhance the accessibility and value of scientific collections for global research, bridging the gap between traditional curatorial practices and modern digital accessibility standards.
- Who should attend: Curators and scientists in Libraries, Archives and Museums (LAMs), universities and research infrastructures working with object-based digital collections.
- Level: Beginner/ Intermediate
- Links: Learning resources
Zenodo
Access materials on Zenodo- file mbz
4.5 Data management for Research Infrastructure (RI) professionals
Description: Techniques to develop effective presentations and deliver high-quality training
- Who should attend: Research infrastructure staff, data managers, and technical personnel responsible for RDM.
- Level: Intermediate
- Links: Learning resources
Access materials on Zenodo - mbz
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