Online workshop
RDM Essentials: Good Data Management from the Start
An introduction to the essential Research Data Management practices that help keep research data organised, documented, compliant, and ready for future preservation and sharing.
WHEN
Monday 16 November
13:30–16:00
FORMAT
Online workshop
VENUE
A Teams link will be provided upon registration
AUDIENCE
PIs, researchers and research assistants in SSH projects
Is this workshop for you?
Are you about to start a new research project or are you working on a project that recently started?
Are you collecting personal and sensitive data?
Would you like to make sure that your research data are well managed throughout the project and ready for future sharing?
Are you wondering which data management practices you should put in place from the beginning, and what you need to consider along the way?
If so, this workshop is for you!
About the workshop
This two-and-a-half-hour workshop provides an overview of the essential Research Data Management (RDM) practices to be considered throughout the research data lifecycle.
The aim is to understand the importance of key data management practices needed to comply with open data requirements, anticipate key data management requirements and decisions from the start of the project, avoid common mistakes, and ensure that your data remain well organised, documented and of sufficient quality for future preservation and sharing.
Six key topics
- Open Science, ethics, data protection and RDM – Understanding how these frameworks relate to one another and what they mean for your research.
- Data Management Plans (DMPs) – Drafting a DMP to anticipate, plan and document how research data will be managed throughout the project.
- Documentation – Ensuring that your data are understandable and reusable by documenting them appropriately from the start.
- Informed consent – Planning consent procedures that protect research participants and take into account future uses of the data.
- Anoymisation – Understanding when and how data should be anonymised to enable their safe use and sharing.
- Data Sharing – Learning about SWISSUbase, FORS’ repository for the Social Sciences and how your data can be safely shared.
Q&A
We will conclude with a dedicated Q&A session, providing an opportunity to clarify any remaining issues and discuss specific questions relating to your projects.
What will you take away
By the end of the workshop, you should have a good understanding of the different data management practices required to carry out your project, and a clear picture of what practices need to be addressed and when.
You will be better equipped to plan for high-quality and shareable data from the very beginning.
