This webinar 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, etc. The webinar will have a theoretical aspect, and we will assess real-life examples.
This 3-day Nextflow course by ELIXIR Estonia, in collaboration with the University of Tartu HPC Center, comprehensively introduces the powerful workflow language. Nextflow is renowned for its robust, scalable, and reproducible methods of running computational pipelines. Through efficient, interactive lessons, participants will gain a solid understanding of Nextflow technology, from fundamental to advanced concepts.
This Tableau course is designed to equip learners with the essential skills required to navigate the software’s core features. Students will learn to create compelling visualisations, manipulate data, develop dashboards, and share insights effectively.
This workshop provides a comprehensive introduction to g:Profiler, a tool designed for functional enrichment analysis, gene ID conversion, and orthology mapping, and requires no prior knowledge. Specifically intended for beginners, the session emphasizes efficient usage of g:Profiler for mapping genes to known functional information sources and identifying statistically significantly enriched terms.
According to the Estonian Research Council funding agreement, all the projects that have started in 2022 have to submit a data management plan (DMP) within the first six months. Since this will be new for many researchers, ELIXIR Estonia will do a data management writing course. During the workshop, we will discuss the different aspects of the DMP and give more practical advice. There will be 3-4 30-minute writing sessions where you can write your DMP. Also, if you have any questions, the organiser will help you as best as they can.
According to the Estonian Research Council funding agreement, all the projects that have started in 2022 have to submit a data management plan (DMP) within the first six months. Since this will be new for many researchers, ELIXIR Estonia will do a data management writing course. During the workshop, we will discuss the different aspects of the DMP and give more practical advice. There will be 3-4 30-minute writing sessions where you can write your DMP. Also, if you have any questions, the organiser will help you as best as they can.
According to the Estonian Research Council funding agreement, all the projects that have started in 2022 have to submit a data management plan (DMP) within the first six months. Since this will be new for many researchers, ELIXIR Estonia will do a data management writing course. During the workshop, we will discuss the different aspects of the DMP and give more practical advice. There will be 3-4 30-minute writing sessions where you can write your DMP. Also, if you have any questions, the organiser will help you as best as they can.
According to the Estonian Research Council funding agreement, all the projects that have started in 2022 have to submit a data management plan (DMP) within the first six months. Since this will be new for many researchers, ELIXIR Estonia will do a data management writing course. During the workshop, we will discuss the different aspects of the DMP and give more practical advice. There will be 3-4 30-minute writing sessions where you can write your DMP. Also, if you have any questions, the organiser will help you as best as they can.
Seminaril käsitleme andmete visualiseerimise tähtsust ning seda, mida peaksime visualiseerimise loomisel arvesse võtma. See hõlmab muu hulgas joonise tüübi valikut, lisatava teabe hulka, mida ja kuidas esile tõsta jne. Võtame luubi alla ka näiteid päriselust.
FAIR põhimõtted, mis esmakordselt avaldati 2016. aastal, sisaldavad häid andmehaldustavasid, mille eesmärk on muuta andmed leitavaks, ligipääsetavaks, ühilduvaks ja taaskasutatavaks. Iga täht FAIR-is viitab põhimõtete (15) loendile. Kuigi FAIR põhimõtted pärinevad loodusteadustest, saab neid rakendada kõigis teadusvaldkondades. Alates nende avaldamisest on Euroopa Liit, riiklikud rahastajad ja ülikoolid väljendanud nende põhimõtete toetust ja heakskiitu. Ja olgem ausad, mõnda neist asjadest te teete ilmselt juba praegu. Sellel kursusel käime läbi kõik FAIR põhimõtted ja kuidas neid reaalses elus rakendatakse. Nii tead juba, mida taotluse kirjutamisel, oma andmehalduskava täites või oma uurimistööd tehes arvesse võtta.