Speaker
Description
The "Reusability of Scientific Data" course is designed to equip researchers with the knowledge and practical skills necessary to ensure their data adheres to the principles of FAIR (Findable, Accessible, Interoperable, Reusable), with a specific focus on reusability. This 4-hour online course provides a detailed exploration of the critical role that data reusability plays in enhancing the impact and longevity of research.
The course aims to foster a deep understanding of the methods required to achieve data reusability, offering participants hands-on experience in key steps to make their research data accessible and valuable to the broader scientific community.
With an interactive format designed for 20 participants, the course encourages discussion and practical application of data reusability techniques. By the end of the course, participants will have a comprehensive understanding of the essential processes involved in making research data reusable. They will leave equipped with the tools and insights necessary to implement these practices in their work, thereby contributing to the advancement of open science and the reproducibility of research.
In addition, please add 3 to 5 keywords.
Data Reusability, FAIR Principles, Research Data, Open Science, Reproducibility,
| Please assign yourself (presenting author) to one of the following groups. | Data professionals and stewards |
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| For whom will your contribution be of most interest? | Researchers |
