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Register for Research Data Management and Open Science Training in Spring 2022!

Aalto University Research Data Management Network organises a webinar series on research data management and open science in spring 2022. The webinars, aimed at university staff and students, are open to everyone. Participation is free. No previous knowledge is needed.
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Registration & Schedule

Are you confident with processing personal data safely?
Do you know how to write an effective data management plan?
Where and how should you store and share your data?

Understanding proper research data management is becoming more and more important to researchers and students across disciplines. Data management plans are increasingly required by funders, and researchers urgently need data management and open science skills to enhance the impact of their research. Safe ways of processing data are particularly important to those working with personal data or confidential data.

Aalto University Research Data Management Network organises a biannual webinar series on research data management and open science. Some webinars from the previous series will be held again, but we also have some exciting new topics, like:

In addition, specific aspects of open science and research data management will be discussed, for instance, research data in the visual arts, working with restricted datasets, and current trends in academic publishing.

We recommend everyone to attend our popular Introduction to Research Data Management webinar, which provides a foundation for the rest of the training. All webinars will be held in English using the Zoom platform.

Discover the full training programme

See you in the spring sessions!

 

Questions on training and data management can be sent to: [email protected]
 

Learn more and find other data support resources:

Research Data Management (RDM) and Open Science

Properly managed research data creates competitive edge and is an important part of a high-quality research process. Here you will find links to support, services and instructions for research data management.

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