RDM

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Kurse mit 'RDM' markiert

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.


Country/Region: Netherlands
Skill Level: Beginner

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).
Skill Level: Beginner