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 aim at empowering trainers with the knowledge and the know-hows of Open Science so they can pass it onto the researchers and students themselves, and ultimately help create a more open, transparent and accessible research ecosystem.
develop an in-depth understanding of Open Science, Open Data, Data Management Plans (DMPs), Open Access publishing, Intellectual Property Rights (IPR), Horizon Europe requirements, OpenAIRE services, and the European Open Science Cloud (EOSC);
improving the skills to effectively communicate and teach these concepts to researchers, research support, students or any other stakeholders;
get familiar with various tools and software that support best practices in Open Science;
build confidence and gain the competencies to handle challenging questions;
foster a community of trainers by providing a platform for networking and collaboration.
The bootcamp will offer a dynamic and engaging learning experience, combining interactive live sessions in the mornings, networking opportunities and hands-on assignments. You will have the chance to hear from experts in the field and engage in discussions and sharing of your own experiences as a trainer. The networking dimension is a central component of the bootcamp's design, with a variety of activities including breakout sessions and group exercises. Additionally, the use of OpenPlato as a learning platform will facilitate the formation of what we hope to be long-lasting connections among the Open Science trainer community.
Librarians, data stewards, research support staff or any other professional stakeholders who are planning to deliver Open Science training to researchers, research support staff and/or students.
This is an intermediate-level course. You should have, at the very least, some basic knowledge of the state-of-the-art, including awareness around research data management topics and have an intermediate knowledge of Open Access publishing.
Geographically, there are no restrictions and we welcome applicants from beyond Europe! But please note that some of the topics might be more Euro-centric.
Only 20 applicants will be selected for the intensive 5-day course, where participants will be encouraged to interact and collaborate with their peers during and after the course.
This course will be free. However, you are expected to commit to the 5 working days of that week. There will be 3 hours of synchronous meetings in the morning and you will have to dedicate time in the afternoons (1-3 hours) to review the materials, complete the individual assignments, meet and prepare a presentation with your group and overall interact with other participants for the duration of the course. You will also be asked to familiarise yourself and complete some short activities the week before the bootcamp.
You are also expected to conduct at least one training on an Open Science topic in your institution, country or community within the following year.
1. Potential and motivation to conduct training on Open Science in your institution, country or community - 50%.
2. Previous experience as a trainer, particularly on topics related to Open Science- 50%.
During registration, you will be asked to answer the following four questions (all compulsory):
Please take your time in answering these questions. The number of participants being limited, we will be deciding who participates based on your answers.
- Deadline for applications: 02 April 2023
- Results announcement: 17 April 2023
- Bootcamp: 22-26 May 2023
This train-the-trainer bootcamp is organised twice a year by OpenAIRE. If you are not selected this time around, you are more than welcome to apply again in any of the future iterations.
Bootcamp Program Committee (in alphabetical order): Marios Balatzaras, Antónia Correia, Jonathan England, Judit Fazekas-Paragh, Gultekin Gurdal, Iryna Kuchma, Pedro Príncipe, Milica Sevkusic, Shanmugasundaram Venkataraman (Venkat).