Sharing well-annotated research data helps the systems biology process.
This practical is about how to easily structure your experimental data such that it becomes well annotated, standard compliant, reproducible, and re-usable (also for others). While much big data travels from machine to machine without human intervention, we will focus on exchange of small data describing experiments which is (to our experience) mostly handled via MS Excel and similar tools. First we give an outline talk about (potentially) deadly sins to avoid when describing data for later use with computers. Then we will build (together) an Excel templates for use with an experimental data of different types. Finally we will introduce you to off-the-shelf tools applied to realistic experimental data to improve its quality before uploading it to the data management system SEEK.
We target experimental biologists, no prior informatics training is assumed, own data can be used in this course
Tools to be used:
http://www.seek4science.org/ https://www.sysmo-db.org/rightfield http://openrefine.org/ Software: Please download and preinstall Rightfield and OpenRefine for this practical.
SEEK ID: https://demo.fairdomhub.org/assays/32
Projects: SysMO DB
Investigation: Methods for interrelating 'omics data
Study: hidden item
Assay type: Experimental Assay Type
Technology type: Technology Type
Organisms: No organisms
Created: 25th Feb 2014 at 13:06
Last updated: 26th Oct 2017 at 09:57