Content provider: VIB Bioinformatics Core
The first day (20 May 2021) is dedicated to Containers (Docker & Singularity) which are great tools for code 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...
workshop materials (mainly) in DSL2 aiming to get familiar with the Nextflow syntax by explaining basic concepts and building a simple RNAseq pipeline. Highlights also reproducibility aspects with adding containers (docker & singularity). Slides available...
This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure....
Best practices for writing reproducible data-analysis
Creating a reproducible and re-usable data-analysis environment with Rstudio
Valorisation and IP
- Basics of Tech Transfer and IPR from an academic perspective
- Insights as to:
- Why is it important when handling and managing research data?
- How do IP rights fit in FAIR data principles
- When to safeguard data for proprietary protection?
- why preserve data
- what data should be preserved
- how share data
- where to deposit your data
- Fairsharing, re3data
- ELIXIR Core Resources
- Data Formats
- Generic archives
- how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub)
- datasets as first-class research products
- research software as first-class research products
- data citations
The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences.