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Register for Research Data Management and Open Science Training in Autumn 2021!

Aalto University Research Services organises a webinar series on research data management and open science in autumn 2021. The webinars, aimed at university staff and students, are open to everyone. Participation is free. No previous knowledge needed.
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Registration & Schedule

Irrespective of their discipline, sound skills in research data management are becoming more and more important to researchers and students. 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. Everyone working with data needs to have knowledge in data storage and organisation. Safe ways of processing data are particularly important to those working with personal data or other kind of confidential data.

Aalto University Research Services organises a series of hands-on webinars, which focus on the following topics:

•    How do I safely process personal data? How can I anonymise it?  
•    How do I write an effective data management plan?   
•    How do I safely store my data in network drives and cloud services?  
•    How do I share my data?   
•    How do I use version control systems like GitHub?  
•    How do I make my research more reproducible and reusable?

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.

The webinar series will be kicked off on October 5th by the Introduction to Research Data Management webinar, which provides a foundation for the rest of the training. All webinars will be held safely using Zoom. The webinars will be held in English.

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

More information about Aalto Data Support:

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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