Practical Strategies for Effective Research Data Management

Aims

Research data management (RDM) forms the cornerstone of academic success, enabling scholars to efficiently store, organize, document, and share research data. In today's data-driven world, the ability to effectively manage and utilize data is crucial for innovation, collaboration, and scholarly impact. International and Swiss research funders are committed to promoting open science, making the publication of research data increasingly important for the research community.

The course emphasizes the significance of RDM in scholarly pursuits and equips participants with essential skills for managing data throughout the research lifecycle and making their data accessible and reusable.
A special focus will be on discussing examples and issues from the participants' own research projects. In addition, the trainees will get to know the RDM experts at the University of Basel and will have the opportunity to learn directly from them about the RDM infrastructures, tools and services at our university.

Content

The course covers the practical implications of research data management and provides an overview of regulatory frameworks and key principles such as Open Research Data and FAIR data. We will explore various topics along the life cycle of your research data, such as writing a data management plan, storing, organizing, documenting, publishing and reusing data. We will also look at data security and legal issues such as data protection and intellectual property rights that are relevant to RDM.

Theoretical inputs will be mixed with many interactive exercises and discussions. During a meet and greet session, several experts from the university’s RDM Network will present their services and answer the specific questions of the participants.

With its focus on managing data, the workshop is complementary to workshops on methods and tools for analyzing data.

Methods

Presentations / Group discussions / Exercises / Meet and greet with experts from the Research Data Management Network at the University of Basel

Target Group

All Doctoral Candidates & Postdocs

About the Trainer

Members of the Research Data Management Network

Workload

Total of 15h (preliminary work between 30 min. and 1h, course attendance 2 x 7h)

Optional: additional follow-up assignment (15h) to receive 1 ECTS credit

Feature

Once registration is open, applications will be collected for 24 hours and course places allocated by lot. All registrations received after the initial 24h period will be put on a waiting list and assigned on a first come, first served basis.

Course places/places on the waiting list will be confirmed by e-mail. Course registrations can only be canceled before the registration period ends (send an e-mail to grace@unibas.ch). Full course attendance is mandatory. Participants who fail to attend a course without prior notification or withdraw after the registration deadline are subject to a fee of CHF 30. In addition, participants who cancel their course registration at a later point in time, are absent without an excuse or do not attend the entire course will, for reasons of fairness, not be considered for course registration in the following semester and will be removed from other courses offered in the same semester. Please find the detailed regulations on the Transferable Skills Homepage.