DMPTuuli workshops on every campuses – sign up now for better DMPs!

This post is also available in: englanti

Do you wish to learn the best practices of research data management and get  hand hands-on training of data management planning (DMP)?

During DMPTuuli workshops we go through the Academy of Finland’s current DMP template. The DMPs are drafted with DMPTuuli. Please, sing up for DMPTuuli account in advance! Workshops are open for University of Helsinki students and personnel.

City Centre Campus
in the 5th floor IT class of Kaisa house (5057)

Thursday August 30, 12-2 pm
Tuesday September 4, 12-2 pm
Wednesday September 12, 10-12 pm
Thursday September 13, 12-2 pm
Monday September 17, 12-2 pm
Enrollments: https://elomake.helsinki.fi/lomakkeet/90402/lomake.html

Viikki Campus
Infocenter Korona (Viikinkaari 11)

Tuesday August 28, 2-4 pm, class 139. (in English). Please, bring your own laptop!
Friday September 14, 10-12 pm, IT-class 138 (in Finnish)
Enrollments: https://elomake.helsinki.fi/lomakkeet/90686/lomake.html

Kumpula Campus
Kumpula Campus Library, room G108b

Thursday September 6, 10-12 am, room G108b (in English)
Thursday September 13, 10-12 am, room G108b (in Finnish)
Enrollments: https://elomake.helsinki.fi/lomakkeet/90686/lomake.html

Meilahti Campus
Terkko Health Hub (Haartmaninkatu 4), PC-classroom, 1st floor

Thursday August 30, 13-15​ pm
Friday September 7,  9.30-11.30​ am
Tuesday September 11, 9.30-11.30 am
Enrollments: https://elomake.helsinki.fi/lomakkeet/90760/lomake.html

NB! If this is the first time you are writing a DMP or otherwise new to these issues, it is recommended that you start with the RDM basics lecture (running throughout the year), or otherwise acquaint yourself with the basic terminology and DMPTuuli.

The primary language of the workshop will be English. Help and instructions are also available in Finnish. In Viikki and Kumpula, please check the language.

Courses and further help in research data management is provided by the University of Helsinki DataSupport.

Guides: Research Data Management

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