This course is designed to provide EHRI researchers and archivists with an introduction to research data management, data management plans, FAIR data and Open Research. The content is an overview of these topics, and includes discussion on how it applies to Holocaust research.
EHRI is funded by the European Union
This course is designed to provide EHRI researchers and archivists with an introduction to research data management, data management plans, FAIR data and Open Research. The content is an overview of these topics, and includes discussion on how it applies to Holocaust research.
EHRI is funded by the European Union
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The FOSTER taxonomy defines Open Science as the movement to make scientific research, data and dissemination accessible to all levels of an inquiring society.
Sounds good but what does Open Science (OS) mean in a practical sense? These courses answer some of the most common questions you might have about putting open science into practice. Each course takes about 1-2 hours to work through and you’ll receive a badge upon completion. The courses include practical tips on getting started with OS as well as providing information on discipline specific tools and resources you can use. There is no specified order through the courses – just explore topics that you want to learn more about at your own pace.
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).