News and announcements

Spring semester ELIXIR courses

Submitted by Diana on

ELIXIR Estonia is continuing with the data management-related lectures and workshops this semester. To get more information about these courses, read below and visit https://elixir.ut.ee/training.  

We do ask you to register for the lecture responsibly. If you can’t attend the course, please let us know as soon as possible via email at elixir@ut.ee. 

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Galaxy Smörgåsbord 2023

Submitted by elixir on

Galaxy Smörgåsbord is coming again! The next edition of the GTN Smörgåsbord training event will take place on May 22-26, 2023! 

It will once again be free, online, self-paced, and choose-your-own-adventure style. It will feature all the content of previous editions, plus lots more!

The preliminary program can be found on the course website.  (Several modules are still in development, so check back regularly for the updated program!) 

Registration is now open!

 

 

Data Visualisation I - Figures - 18.04.2023 - Registration OPEN

Submitted by Diana on

Due to high demand, on the 4th of April 2023, ELIXIR-Estonia will hold a repeat data management online course: Data Visualization I - Figures. The course will be held in English. 

All researchers will be handling some data at some point in their careers. However, the data, in its regular shape (tables), is quite hard to grasp for most people. Especially if there is a lot of it, this is where data visualization comes to help. The idea is to bring forth the essential aspects of the data - to tell a story. However, just putting data into a graph or figure might do more harm than good. Not only could it give wrong conclusions, but it also might be misleading. This is one of the main reasons why the exact way how you visualize the data is fundamental. 

This lecture is part of a series of lectures and workshops called “Data visualisation.” The first lecture will discuss why data visualisation is important and what we should consider when designing it. This means what chart type to pick, how much information to include, what (and how) to highlight, and so on. This lecture will be followed up by a workshop in May. 

 

Information about the lecture

Date: 18.04.2023

Language: English

Time: 10:00-12:00

Place: Zoom, the link will be sent a couple of days before the lecture

Register: https://forms.gle/XoR6HsyEuG5kfNnf8

Registration closes at 23:59 on 12.04.2023 or when the course gets full.

 

We do ask you to register for the lecture responsibly. If you can’t attend the course, please let us know as soon as possible via email at elixir@ut.ee. 

 

Learning outcomes for the participants: 

  • Understands how to tell a story through data visualization
  • Knows what chart type to pick for different kinds of data
  • Knows what to pay attention to while designing a figure

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Data Visualisation I - Figures workshop - 2.05.2023 - Registration OPEN

Submitted by Diana on

“Data Visualisation I - Figures workshop” will be a follow-up to “Data Visualisation I - Figures” lecture. During the face-to-face workshop held in English we will do data visualisation using ggplot2 and Tableau. We will compare the user experience and the aesthetics of the results of both visualisation options. We will also put to use our knowledge of good practices in data visualisation we learned in the lecture.

 

Information about the lecture

Date: 2.05.2023

Language: English

Time: 14:00-17:00

City: Tartu 

Place: Delta, Narva mnt 18 ROOM 1005

Register: https://forms.gle/tqhYu7EHTPVq7CS78 

Registration closes at 23:59 on 24.04.2023  or when the course gets full.

 

Bring your own laptop!

 

We do ask you to register for the lecture responsibly. If you can’t attend the course, please let us know as soon as possible via email at elixir@ut.ee. 

 

In order to not miss out a course next time, subscribe to our newsletter at https://lists.ut.ee/wws/subscribe/elixir.news?previous_action=edit_list_request 

 

Learning outcomes for the participants: 

  • Knows what chart type to pick for different kinds of data
  • Knows what to pay attention to while designing a figure
  • Knows how to compare user experience with ggplot2 and Tableau
  • Knows how to make informative and visually appealing figures in ggplot2
  • Knows how to make informative and visually appealing figures in Tableau

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Licensing Research Outputs - 25.04.2023 - Registration OPEN

Submitted by Diana on

On the 25th of April 2023, ELIXIR-Estonia will hold a data management lecture: Licensing Research Outputs. The course will be held in English and will be held online. 

While doing scientific research, you handle different kinds of research outputs, whether they are produced by you or by somebody else. So, how can you ensure that other people will give you credit when using your produced materials? And how will you know how exactly you can use the resources produced by others? This is a topic that copyright laws handle. 

This lecture will cover what copyright laws do, who has the rights to the materials, and how you can use them. Most of this information is protected with licenses, whether they are meant for figures, data, or software. This lecture will discuss what licenses to use for different materials and what each license covers (this means how people can use the materials). We will also show how exactly you can apply a license to your research outputs. 

 

Information about the lecture

Date: 25.04.2023

Language: English

Time: 10:00-12:00

Place: Zoom, the link will be sent a couple of days before the lecture

Register: https://forms.gle/3riWeYJDEpWxFSnKA 

Registration closes at 23:59 on 19.04.2023  or when the course gets full.

 

We do ask you to register for the lecture responsibly. If you can’t attend the course, please let us know as soon as possible via email at elixir@ut.ee. 

In order to not miss out a course next time, subscribe to our newsletter at https://lists.ut.ee/wws/subscribe/elixir.news?previous_action=edit_list_request 

 

Learning outcomes for the participants: 

  • Knows what items need a license
  • Knows the restrictions on licensing a dataset
  • Knows what licenses to use for what research output
  • Knows how to apply a license to a research output practically

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