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E-kolegiji tagged with "OpenAIRE"

Promoting open access: Advancing DOAJ inclusion and scholarly publishing best practices

The curriculum developed through the collaboration between Research4Life, DOAJ, and ASSAf spans five clusters of four weeks each, structured into four distinct modules:

  1. DOAJ Introduction & Overview: This initial module provides a foundational understanding of the Directory of Open Access Journals, detailing its mission to enhance the visibility and usability of open access scholarly journals. It introduces participants to the criteria for inclusion in the DOAJ and the benefits of being listed, supported by slides and a video presentation.

  2. Submitting a Scholarly Journal Application to DOAJ: The second module guides participants through the process of applying for DOAJ inclusion. It covers the detailed requirements for submission, such as demonstrating a robust peer-review process and providing clear information about journal ownership and policies. This module also includes practical slides and a video to aid understanding.

  3. Best Publishing Practices for Scholarly Journals: This module emphasizes the importance of adhering to best publishing practices to ensure the integrity and credibility of scholarly communications. Participants learn about maintaining high standards in publishing, including ethical guidelines and transparency, critical in the fight against predatory publishing.

  4. Maintaining Research Integrity and Ethics: The final module focuses on the ethical aspects of scholarly publishing. It discusses how to uphold research integrity, the use of AI tools in publishing responsibly, and the importance of human oversight in the publishing process.

Each module is designed to equip editors and publishers, particularly from lower- and middle-income countries, with the knowledge and tools necessary to improve their journals' quality and reach, furthering the global Open Science movement.

Kategorija: Open Access to publications
Skill Level: Beginner

RDNL Essentials 4 Data Support

Essentials 4 Data Support is an introductory course for those people who (want to) support researchers in storing, managing, archiving and sharing their research data.

Essentials 4 Data Support is a product of Research Data Netherlands.

Mission

The Essentials 4 Data Support course aims to contribute to professionalization of data supporters and coordination between them. Data supporters are people who support researchers in storing, managing, archiving and sharing their research data.

Target group

The course focuses on anyone wanting to support researchers in storing, managing, archiving and sharing research data: a data supporter. Think, for instance, of (data) librarians, IT staff and researchers with duties involving data management.

Learning objectives

The name for the course – Essentials 4 Data Support – refers to the main goal of the course: teaching the basic knowledge and skills (essentials) to enable a data supporter to take the first steps towards supporting researchers in storing, managing, archiving and sharing their research data.

After the course, data supporters will have gained an insight into the phases in the lifecycle of scientific research data. Points of reference are given for each phase in order to advise researchers about adding value to their research data. View this table to see which competences will be paid attention to in this course.

With this course we mainly aim to offer a community and starting point for data supporters to meet and where they can benefit from each other’s newly gained knowledge and skills. We think that supporting researchers in being responsible for their research data is a team effort. IT staff, library staff, data librarians and data specialists all play their parts. If data supporters know where to find each other, everyone benefits – the researcher in particular. 

Research disciplines vary greatly and each requires a specific approach that is not offered in this course.

Course structure

In addition to acquiring knowledge, it is the practicing and sharing of this knowledge which is key to Essentials 4 Data Support. You can take this course in two ways.


Kategorija: Research Data Management
Country/Region: Netherlands
Skill Level: Beginner

Research Data Management (RDM) for Data Stewards

This bootcamp equips early-career data stewards with practical skills in Research Data Management (RDM), ensuring they can apply FAIR principles, manage ethical and legal compliance, implement Open Science best practices, and engage in hands-on exercises with real-world case studies.

Kategorija: Research Data Management
Country/Region: Europe
Skill Level: Beginner

DMPs for Research Success: Tools and Techniques for Data Stewards

Course Overview

This course equips data stewards, librarians, archivists, curators, and research support staff with the knowledge and skills to effectively manage research data. Participants will explore the fundamentals of Data Management Plans (DMPs), their significance, and best practices for creating and implementing them. Through hands-on sessions, learners will gain practical experience with the ARGOS tool, a key platform for managing DMPs in alignment with Open Science and FAIR data principles. Additionally, participants will learn to build customized DMP templates and workflows tailored to their institutions' needs, ensuring seamless integration into research processes.

 

Learning Outcomes

By the end of the course, participants will be able to:

  • Understand the principles and importance of DMPs in research.
  • Explain the historical and current landscape of DMP tools and policies.
  • Use the ARGOS tool to create, manage, and enhance DMPs.
  • Apply best practices to support researchers in developing comprehensive DMPs.
  • Lead the implementation of Research Data Management (RDM) policies at their institutions.
  • Build and customize DMP templates to meet organizational needs.
  • Design workflows for integrating DMPs into institutional research practices, ensuring compliance with Open Science standards.

 
Course Syllabus

 

Lesson 1: Introduction to DMPs and Research Data Management (RDM)
  • Overview of DMPs and their role in RDM.
  • Key concepts of Open Science and data sustainability.
Lesson 2: Evolution and Current Practices in DMPs
  • Historical development of DMPs.
  • Current tools and best practices for effective data management.
Lesson 3: ARGOS Tool for DMP Management
  • Introduction to ARGOS: features, functionalities, and practical applications.
  • Hands-on session for creating DMPs using ARGOS, ensuring compliance with institutional and Open Science policies.
Lesson 4: Practical Assignment
  • Scenario 1: Implement a Research Data Management policy at an institution.
  • Scenario 2: Lead the Data Management Planning for a new research project.

How to Use This Course as a Trainer

This course is designed for trainers to deliver engaging, interactive sessions. Each lesson combines foundational theory with practical exercises to ensure knowledge application.

Interactive Learning

Incorporate slides, quizzes, group discussions, and hands-on activities to balance theory and practice.

Pedagogical Tips
  • Use small groups for collaborative exercises.
  • Incorporate gamification techniques to enhance engagement and retention.

Tailoring for Audiences

Adapt the content for various audinces, such as researchers, data stewards, and managers, by emphasizing relevant aspects like ethics, data protection, and Open Science practices.

Supporting Resources

Provide additional materials, including templates, guidelines, and tools, to help participants deepen their understanding and apply best practices in DMP creation and management.

Details

  • Language: English
  • Resource Types: Interactive sessions, slides, exercises, study cases
  • Audience: Data stewards, librarians, archivists, research support staff, and managers in academic and research institutions

Kategorija: Research Data Management
Skill Level: Beginner

Copyright in the digital environment

Delve into the complexities of copyright in research with our course, "Copyright in the Digital Environment." This course provides a comprehensive introduction to copyright law, its implications for researchers, and its relationship with Open Science (OS) principles. You’ll gain key insights into copyright protection, how to navigate legal issues when sharing research data, and the legal frameworks surrounding Open Access (OA). You'll also learn how copyright impacts the use of third-party data and your own work in the OS context.

By the end of this course, you'll have a solid understanding of copyright law, how to retain your rights when publishing, and how to use open licenses to promote wider access. Whether you're managing research data, using AI tools, or publishing your findings, this course will equip you with the knowledge to safeguard your work while fostering openness in science. 

Enroll and stay informed!

Kategorija: Data Protection, Copyright, and Ethics in Research
Skill Level: Beginner

OpenAIRE's Open Science Train-the-Trainer resources

Research, and how it is conducted, is ever-changing and requires those that are tasked in its support to also keep up-to-date in Research Data Management, Open Access and Open Science in general. OpenAIRE's train-the-trainer bootcamps, organised twice a year since 2022, aim at empowering trainers with the knowledge and the know-hows of Open Science so they can pass it onto others, and help create a more open, transparent and accessible research ecosystem. 

This course is a compilation of all the presentations and some of the discussions that happened during the bootcamps. 

Programme

Open Science being a fast-moving area, the programme of the bootcamp is revised for each iteration. The bootcamp is designed around three axes: presentations from experts, exchanges of individual experiences and independent learning assignments. 

Short presentations from experts cover the latest 'hot topics' and more in-depth knowledge of lesser-known subjects (e.g. pedagogy theory) and useful tips and tools. The course is meant as a student-centered learning experience and a horizontal knowledge exchange. The presentations are there to encourage participants to engage in group discussions and share their individual experiences as trainers throughout the week. The conversations usually continue beyond the live sessions through the text forum provided on OpenPlato to participants. The networking dimension is also fostered through the platform and additional optional gamified activities, demos and informal get-together. Mandatory assignments ensure every participants engage in peer-to-peer exchange and use the week for self-reflection on the design of a training plan.

Competencies

  • plan and conduct engaging training activities following best practices for online, face to face and hybrid events; 
  • evaluate impact of training and make training materials FAIR;
  • understand the financial and ethical implications of Open Access;
  • provide training on Intellectual Property Rights in the context of Open Access;
  • recommend RDM tools for the different stages of the data curation lifecycle; 
  • train on FAIR and open data; 
  • identify good and bad practices in preparing a Data Management Plan (DMP);
  • give insights into emerging trends in relation to Open Science practices (e.g. citizen science, pre-registration, research assessment, funder requirements, Artificial Intelligence).
Kategorija: OpenAIRE Open Science Train-the-trainer Bootcamps
Skill Level: Beginner