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Supporting EOSC
Co-funded by the European Union
Co-funded by UKRI

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.

How to Register

  • For hybrid courses (combining synchronous and asynchronous sessions), registration is required via the online registration form.
  • For self-paced courses, you can register and access the content directly on the Skills4EOSC eLearning platform.
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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

Course index

pdf Skills4EOSC - Training Courses 2025 Leaflet(2.89 MB)

click on the course title to see the details

Course index

Calendar

March
2.1 Open Science is the new norm
Async: 26/03 - 04/04 | Live Session: 04/04, 10:00-12:00 CET
Registration deadline: 24 March
April
2.2 ELSI and Data Governance
Async: 05/04 - 14/04 | Live Session: 14/04, 10:00-12:00 CET
Registration deadline: 29 March
2.3 Introduction to Evidence-Informed Decision-Making
Async: 15/04 - 25/04 | Live Session: 25/04, 10:00-12:00 CET
Registration deadline: 8 April
4.1 SSH Researchers and Open Science
Live sessions: 28/04, 5/05, 12/05, 19/05, 10:00-13:00 CET
Registration deadline: 21 April
2.4 Open Science Stakeholders and Collaboration Strategies
Async: 03/05 - 12/05 | Live Session: 12/05, 10:00-12:00 CET
Registration deadline: 26 April
May
4.3 Open Science for Early Career Researchers in Climate Change (blended)
Day 1: May 8, 10:30-13:30
Day 2: May 15, 10:30-13:30
Day 3: May 21, 14:00-17:00
Registration deadline: 1 May
3.5 Shaping Open Science Champions: A Train-the-Trainers Course for Educators of PhD Candidates (online)
Self-paced: 12-31 May
Live sessions: 16, 23, and 30 May, 13:00-14:00 CET
Registration deadline: 5 May
4.2 The Research Community in Solid Earth Sciences
Part I: 12-19 May (self-paced) | Live Session: 16/05, 10:00-12:00 CET
Part II: 19-23 May (self-paced) | Live Session: 23/05, 10:00-12:00 CET
Registration deadline: 5 May
2.5 Empowering the Future of Research with Open Science
Async: 13/05 - 23/05 | Live Session: 23/05, 10:00-12:00 CET
Registration deadline: 6 May
4.4 Open Science Skills for Digital Collections Curators (hybrid)
Live sessions: 19/05 (hybrid), 20/05 (online)
Registration deadline: 12 May
2.6 Open Science Policies Support Open Science Practices
Async: 24/05 - 02/06 | Live Session: 02/06, 10:00-12:00 CET
Registration deadline: 17 May
2.7 Implementing Open Science Policies
Async: 03/06 - 13/06 | Live Session: 13/06, 10:00-12:00 CET
Registration deadline: 27 May
Calendar

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
  • Duration: 2 and ½ days
  • Date: 17-19 Oct 2023 and now available on the Skills4EOSC learning platform as a self-paced course.
  • Link: learning resources

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: 5-6h 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)
  • Round 1: 18/10/2024 at 10.00am (until 12.00pm)
  • Round 2: Asynchronous (26/03/2025 - 04/04/2025) - Live Session 04/04/2025 at 10-12 CET
  • 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: 4-5h 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)
  • Round 1: 25/10/2024 at 10.00am (until 12.00pm)
  • Round 2: Asynchronous (05/04/2025 - 14/04/2025) - Live Session 14/04/2025 at 10-12 CET
  • 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: 4-5h 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)
  • Round 1: 15/11/2024 at 10.00am (until 12.00pm)
  • Round 2: Asynchronous (15/04/2025 - 25/04/2025) - Live Session 25/04/2025 at 10-12 CET
  • 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: 4-5h 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)
  • Round 1: 08/11/2024 at 10.00am (until 12.00pm)
  • Round 2: Asynchronous (03/05/2025 - 12/05/2025) - Live Session 12/05/2025 at 10-12 CET
  • 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: 4-5h 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)
  • Round 1: 22/11/2024 at 14.00pm (until 16.00pm)
  • Round 2: Asynchronous (13/05/2025 - 23/05/2025) - Live Session 23/05/2025 at 10-12 CET
  • 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: 4-5h 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)
  • Round 1: 29/11/2024 at 13.00pm (until 15.00pm)
  • Round 2: Asynchronous (24/05/2025 - 02/06/2025) - Live Session 02/06/2025 at 10-12 CET
  • 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: 4-5h 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)
  • Round 1: 06/12/2024 at 13.00pm (until 15.00pm)
  • Round 2: Asynchronous (03/06/2025 - 13/06/2025) - Live Session 13/06/2025 at 10-12 CET
  • Type: Both asynchronous and synchronous
  • Link: learning resources

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.

3.2 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
  • Duration: 3 hours
  • Type: Available on the Skills4EOSC learning platform as a self-paced course
  • Links: Round 1: Learning Platform, Zenodo
  • Links: Round 2: Learning Platform, Zenodo

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
  • Type: Asynchronous workshop
  • Links: learning resources, Github, Zenodo

3.4 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
  • Type: Self-pace
  • Link: learning resources

3.5 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. The route includes 4 hours of self-paced online learning a week -allowing participants to explore the basics at their own pace- and 1 hour of interactive online synchronous workshops focused on applying these concepts in teaching contexts. Join Skills4EOSC in shaping the next generation of researchers committed to Open Science values!

  • Who should attend: PhD mentors, Mid-senior career researchers, and/or academic staff responsible for delivering Open Science training to doctoral students.
  • Level: Intermediate
  • Duration: 3 weeks (4 hours of self-paced training + 1 hour a week of synchronous online workshop
  • Date: 12-31 May 2025
  • Date: 16, 23 and 30th May from 13:00 to 14:00
  • Type: Both asynchronous and synchronous
  • Link: learning resources

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. Parts of the training will be completed asynchronously (offline) by the participants and subsequently, together with the trainers, participants will work on specific topics to enhance their capacity and competence on delivering training on specific SSH and Open Science subjects. The course will run in April/May, for 4 weeks, and participants are expected to dedicate up to 5 hours a week to deliver the outcomes of the course. 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 will focus 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
  • Duration: 20 hours
  • Date: 28/4 morning, 5/5 morning, 12/5 morning, 19/5 morning, from 10 AM to 1:00 PM CET
  • Type: Both asynchronous and synchronous
  • Link: learning resources

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
  • Date: 12-19 May 1st part self-paced; 19-23 May 2nd Part self-paced Live sessions: session #1 Friday 16 May - 10:00-12:00 CET, session #2 Friday 23 May - 10:00-12:00 CET
  • Type: Both asynchronous and synchronous
  • Link: learning resources

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: CResearchers in Climate Change
  • Level: Beginner/ Intermediate
  • Duration: 3 half-days
  • Date: Day1: May 8: 10.30-13.30
    Day2: May 15: 10.30-13.30
    Day3: May 21: 14.00-17.00
  • Type: Both asynchronous and synchronous
  • Link: learning resources

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
  • Duration: 4 half days of live sessions (the training consists of four half-day modules) and 3 hours of self-paced assessments
  • Live sessions: 19 May 2025, 20. May 2025
  • Type: Both asynchronous and synchronous
  • Links: Zenodo, learning resources
courses details