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.
Lihtsas keeles väljendudes on metaandmed teie andmeid kirjeldav informatsioon. Kuid mida metaandmed tegelikult hõlmavad ja kui palju neid peaks teie andmetega kaasas olema?
Praktiline töötuba, kus puhastame käsitsi sisestatud andmeid OpenRefine tarkvaraga. Esmalt käsitleme tabelarvutuse parimaid tavasid ning seejärel rakendame teadmisi OpenRefine’is. Koolitusel uurime OpenRefine tarkvara funktsionaalsusi: andmete puhastamist suuremate partiidena ja andmete ühtlustamist ühe hoobiga. Lisaks tutvustame võimalust laadida alla täiendavaid andmeid teistest andmebaasidest ja lisarakendusi.