In this course you will learn how to use Research Data Management (RDM) in order to improve the writing of your publications and potentially increase its impact.
Starting from basic concepts together with hands-on activities and discussions, during two days you will learn how to standardise, document and submit your data in a repository and how all of this will help you to underpin your publication.
Objectives
This course gently introduces programming to new programmers. There are plenty of opportunuties to apply and practice what you learn, and ask questions in a safe place. Furthermore, surprise yourself by building a substantial project over the 3 course weeks. We use the popular Python programming language to prepare you for real-world research application of what you learn.
Objectives
After completing this course, you will be able to:
This training will start with the presentation of a 16S pipeline in a Galaxy environment. This will enable the preprocessing of the data going from raw reads to taxonomic tables and phylogenetic trees.
The 2nd part of the training will give an overview of numerical ecology and takes part entirely in R (meaning that knowledge of R is mandatory).
Objectives
You will learn how to use Nextflow for building scalable and reproducible bioinformatics pipelines and running them on a personal computer, cluster and cloud. Starting from the basic concepts we will build our own simple pipeline and add new features with every step, all in the new DSL2 language.
Objectives
The course will give an introduction to containers (Docker & Singularity) which are great components to achieve portability and reproducibility of your analysis. You will learn how to use containers and how to build a container from scratch, share it with others and how to re-use and modify existing containers. After an extensive explanation on Docker containers, Singularity will be highlighted as well.
Objectives
The ELIXIR Training Platform has developed a series of training best practices and guidelines, covering several aspects of training development and delivery. These practices are the building blocks of the ‘ELIXIR Training Toolkit’, a collection of resources available in the ELIXIR website.
Free hands-on introductions to research data management and publication
The ELIXIR Interoperability Platform (EIP) KnowledgeHub is proposed as a systematic approach to collate and disseminate knowledge, working in close partnership with the FAIR Services Architecture Framework to support and provide a dissemination forum for the outputs generated from Task 1.
Over the next two years, the ELIXIR Interoperability Platform (EIP) will build on the extensive interoperability capacity building that has taken place to date, and deliver a set of interoperability stories that showcase EIP flagship interoperability services ‘in action’, and provide practical advice and guidance on the production of FAIR data and data analyses.