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Licensing data and code - Key steps towards reusability

26.11.2024 09:00 +02:00 EET - 26.11.2024 12:00 +02:00 EET

Online

Unlock the full potential of your research and learn about the key components of successful data and software licensing. By knowing how to license, you can enhance the impact of your work while gaining merit and retaining control over how it is used. This training is designed to provide researchers with the essential knowledge and tools to make their data and software more reusable and publishable. With this training, learn the straightforward steps on providing a key for your data and software.

Through a combination of instructions, practical examples, and interactive sessions, you will gain the skills needed to license your work effectively.

Who Should Attend:

Researchers looking to publish and share their data and code
Research software developers interested in making their work more reusable
Data support personnel and librarians seeking to understand licensing practices
Anyone involved in research data management and dissemination

Topics Covered:

Introduction to Data and Software Licensing
Understanding Different Types of Licenses
Practical Steps for Licensing Your Work
Examples of Licensing

Learning objectives:

By the end of this training, you will have an understanding of how to license your data, software and training materials, making them a reusable resource for others.
You have an idea of how to choose right license for your data and software.
You know where to find information on how to license your data and software according to the best practices.
You get a better understanding of the key concepts around licensing.

Skill level: novice

Preliminary programme:

9:00-9:45 Introduction to licensing
9:45-9:55 Break
9:55-10:40 How to license data
10:40-10:50 Break
10:50-11:35 How to license software
11:35-12:00 Overview and closing remarks

Training will be in English

Registration closes 25.11.2024 at 23:59.

Event time

Starts:   26.11.2024 09:00 +02:00 EET
Ends:   26.11.2024 12:00 +02:00 EET

Event location

Online