It is better to start with the publication in mind!
In this course you will learn how to use Research Data Management (RDM) in order to improve the writing of your publications and potentially increase its impact.
Starting from basic concepts together with hands-on activities and discussions, during two days you will learn how to standardize, document and submit your data in a repository and how all of this will help you to underpin your publication!
- Define, explain, and differentiate RDM, FAIR data and Open data.
- Find information and resources about RDM.
- Organize, structure, and standardize data and documentation linked to experiments and publication during and after research.
- Apply minimal metadata standards for domain-specific data.
- Describe the impact of documentation on the publication preparation.
- Finding trusted and certified repositories (generic and discipline specific), and learning how to deposit data to them.
- Recognize, explain, and discuss the GDPR.
- Understanding how to protect and anonymize personal data.
- Reuse and verify data.
- Understanding the data management plan, what it is for, and what should be covered.
This course is composed by 8 sessions that complement each other aiming to give an overview of the steps of Research Data Management (RDM) based on practical activities and discussions. All along we focus in practical and analytical view on the impact of this practices on writing and publishing the results of researchers in scientific journals. This course contains generalized examples and life sciences dedicated examples, but the content is easily applicable to any areas of science and research.
Edition Summer 2023: https://github.com/vibbits/rdm-introductory-course