Love Data Week 2020
The international campaign week "Love Data Week" takes place since 2016 and aims to raise awareness of how data is handled. Practical tips, services and tools for the management and use of data are the focus of the events, in order to provide the best possible support for researchers and to promote good scientific practice.
As part of the campaign week, the research data management initiative of HU Berlin offers various events:
Monday, 10 February, 10.00 a.m. - Workshop Research Data Management at the SLF
The workshop offers an overview of the most important topics concerning the handling of data and deals in particular with the specific requirements of linguistics and literary studies. Registration and further information via e-mail (forschungsdaten@hu-berlin.de).
Tuesday, 11 February, 1 pm - Coffee Lecture Data search in 15 minutes at Jacob-und-Wilhelm-Grimm-Zentrum, Auditorium
Over a cup of coffee, you can find out about different ways of searching data within a short time. Registration is not necessary.
Wednesday, February 12, 10.00 a.m. - Workshop Research Data Management at the Humboldt Graduate School
The workshop will present the most important best practices and tools for research data management. Practical exercises complement the workshop. The course will be held in English. Registration and further information at the Humboldt Graduate School website.
Wednesday, February 12, 2.30 pm - Workshop Data Publishing at Jacob-und-Wilhelm-Grimm-Zentrum
When publishing research results, the publication of the associated data increasingly plays an important role. The workshop informs about the different ways of data publication and shows with practical examples how this can be done successfully. The workshop will be held in English. Registration and further information about the Humboldt Graduate School website.
Thursday, 13 February, 12.30 pm - Coffee Lecture Data research in 15 minutes at Erwin Schrödinger-Zentrum, room 0'101
Over a cup of coffee, you can find out about different ways of searching data within a short time. Registration is not necessary.
All events are offered free of charge. Please note the respective information on registration.