Register for Research Data Management and Open Science Training in Spring 2022!
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:
- – A discussion led by Senior Legal Counsel Maria Rehbinder and moderated by Staff Scientist Dr. Richard Darst.
- ...and a two-day hands-on data anonymisation webinar by Staff Scientist Dr. Enrico Glerean.
(Registration information TBA, check back on our training page for updates.)
In addition, specific aspects of open science and research data management will be discussed, for instance, , , and .
We recommend everyone to attend our popular 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: researchdata@aalto.fi.
Learn more and find other data support resources:
Research Data Management (RDM) and Open Science
Aalto University offers comprehensive services, guidance, and support to help you manage your data efficiently. Explore our collection of resources and external links to boost your research.
Read more news
Decoding the chemistry of space with machine learning
Astronomers can detect complex chemical fingerprints in stardust – but many of them remain unidentified. The SpaceML project combines machine learning and computational chemistry to simulate how molecules form and evolve in space, helping researchers decode these signals.
Catalysis in a new light: Microscale interactions could enhance clean energy technologies
A new study provides a more detailed view of how catalysts function during chemical reactions. The discovery could help develop more efficient materials for applications such as green hydrogen production and a more sustainable chemical industry.
Physics Days 2026 gathered Finnish physicists ºÚÁÏÍø
The 2026 edition of the annual conference featured talks on moiré matter, women in physics and paper cuts.