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Data Visualisation I - Figures - 4.04.2023

On the 4th of April 2023, ELIXIR-Estonia will hold a 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: 4.04.2023

Language: English

Time: 10:00-12:00

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

Register: registration is closed

 

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

Data Visualisation I - Figures workshop - 2.05.2023

“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

 

Registration closed.

 

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

FAIR in a Nutshell - 16.02.2023

On the 16th of February 2023, ELIXIR-Estonia will be holding an online data management course in English: FAIR in a Nutshell. This lecture will be a short overview of the FAIR principles and is part of a bigger data management course package aimed at DMP writers and grant applicants.

In recent years, more attention has been put on what researchers do with the data they produce. Especially in Europe (think GDPR), but also everywhere else. The main idea is that when researchers use taxpayers' money, the taxpayers themselves should also have access to the results free of charge. This means that the research should be published in open-access journals, and data should be made publicly available.

Good data management helps to make the whole process of making data reusable easier. In general, you should think about how to manage your data at the beginning and during the project and know what you plan to do with it at the end of the project. However, what is “good data management” exactly is up for debate. The FAIR Principles concentrate on making your data findable, accessible, interoperable and reusable, so this is a good start. And let’s be honest, some of these things you probably are already doing.

In this course, we will be going over all the FAIR Principles and how they are applied in real life. This way, you will already know what to consider while writing a grant, filling out your data management plan or doing your research.

 

Information about the lecture

Date: 16.02.2023

Language: English

Time: 10:00 - 12:00

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

 

We ask you to register responsibly. If you can't attend the lecture, please let us know as soon as possible via email (elixir@ut.ee).

 

Register: closed

 

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:

  • Understands the importance of a good data management
  • Knows what are the FAIR principles and what they mean
  • Knows how to implement FAIR principles throughout the research project
  • Knows where to get more information about the FAIR Principles

 

Licensing Research Outputs - 25.04.2023

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

Registration is closed.

 

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

Metadata and README - 13.04.2023

On the 13th of April, 2023, ELIXIR-Estonia will hold a data management lecture: Metadata and README. This lecture will be held in English and will be held online. In general, metadata is the descriptive information about your data. However, what exactly is metadata, and how much of it should be included with your data? 

Good metadata can make up for human fallibilities. People forget and misplace things and leave research projects with their knowledge of the research methodology and the data. Metadata ensures that we will be able to find the data, use it, preserve and reuse it in the future.

This means that the metadata provides additional information that helps data consumers better to understand the meaning and the structure of the dataset and to clarify other issues, such as rights and license terms, the organization that generated the data, data quality, data access methods, and the update schedule of datasets. Additionally, metadata also gives information about the data in general. What an actual metadata file includes varies between disciplines and types of data you are working with. However, the documentation for your data should contain the minimum information required to be able to reuse (or understand) the data described. 

In the lecture, we will be going over what exactly metadata is, the minimum information that should be included with each of the scientific results you are sharing, and how exactly you can write a README file. 

 

Information about the lecture

Date: 13.04.2023

Language: English

Time: 10:00-12:00

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

Registration is closed.

 

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: 

  • Understands the importance of good data management
  • Knows what metadata means in data files
  • Knows how to add metadata to the data
  • Knows what should be included in the README file
  • Can write a simple README file to accompany the data

Open Science and DMP in Estonia + QA by Grant Office - 21.02.2023

On the 21st of February 2023, ELIXIR-Estonia will be organising an online data management course in English: Open Science and DMP in Estonia, which will be followed by a short QA by Estonian Research Council and Grant Office. This lecture is part of a bigger data management course package aimed at DMP writers and grant applicants.

In the first part of the course, data librarian Tiiu Tarkpea will give an overview of the Open Science movement in Estonia. The objective of Open Science is to make research open, global, creative and cooperation-based by using modern e-infrastructures.  In the second part, Tiiu will introduce the DMPonline tool to create your Data Management Plan. DMPonline helps you to create, review, and share data management plans that meet institutional and funder requirements. In the third part, Grant Office will go over frequent problems when applying for grants and will answer some questions. 

 

Information about the lecture

Date: 21.02.2023 

Language: English

Time: 14:00 - 16:30

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

 

We ask you to register responsibly. If you can't attend the lecture, please let us know as soon as possible via email (elixir@ut.ee). 

 

Register: the registration is closed

 

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: 

  • Understands what is Open Science
  • Knows Open Science principles and why they are important
  • Knows how to use DMPonline
  • Knows where to get more information about the grant application process
 

Repositories and HPCs in Estonia - 21.03.2023

On the 21.03. 2023, ELIXIR-Estonia will be organising an online data management course in English: Repositories and HPCs in Estonia. This lecture is part of a bigger data management course package aimed at DMP writers and grant applicants.

University of Tartu Library DataDoi, TalTech Data, EMU DSpace, ETAIS and the University of Tartu HPC will each give an introductory presentation about themselves. Repositories will talk about what data they collect, who can use the repository and under what conditions. HPCs will introduce their computing solutions, who and how can use them and under what conditions and prices. 

 

Information about the lecture

Date: 21.03.2023 

Language: English

Time: 14:00 - 16:00

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

 

We ask you to register responsibly. If you can't attend the lecture, please let us know as soon as possible via email (elixir@ut.ee). 

 

Register: the registration is closed

 

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: 

  • Knows available repositories in Estonia and when and how to use them
  • Knows available HPC solutions in Estonia and how to use them
  • Knows where to get more information about repositories and HPCs in Estonia
 

Spring semester ELIXIR courses

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. 

SIB Bioinformatics Awards 2023 are now open to entries

Bioinformaticians of the world, it's your time to shine! The SIB Bioinformatics Awards promote excellence, diversity and innovation in the field of bioinformatics, and are now open to entries until 31 January 2023. 

SIB created the Bioinformatics Awards in 2008 to acknowledge early career bioinformaticians and ground-breaking resources of national and international standing. The international awards honour excellence in bioinformatics and computational biology within three categories:

The awards are assigned by an international jury, revised by the SIB Award Committee and announced during the biennial [BC]2 Basel Computational Biology Conference.

More info available here: https://www.sib.swiss/science-promotion/bioinformatics-awards

  • 1 min read

Free Open Data Courses by Digiriigi Akadeemia

Digiriigi Akadeemia is hosting several Open Data related courses. 

In addition to the ABC of Data course, two new free courses have been opened in the Digiriigi Akadeemia environment: ABC of Open Data and Good Practice for Publishing Open Data. 
The ABC of Open Data is intended as a basic level course and creates a general understanding of the topic of Open Data. It is suitable for everyone who feels they need instructions and help decipher the topic to get started in the field.
The good practice of publishing open data is a natural continuation of the ABC training, which talks about higher-quality data disclosure.

More information: www.digiriigiakadeemia.ee