[BBC] Course Data management and computational workflows, 25 June 2018, Amsterdam

[Celia van Gelder]

Dear all

Please find below the information about the course Data Management and Computational Workflows that will take place June 25 in Amsterdam.
Registration is free of charge.  There are ca. 20 places.  First come, first serve. 
It is a course from the regular SURFsara portfolio but for this edition there is a focus on life sciences examples.

The weblink for the course is here: https://www.surf.nl/en/agenda/2018/06/course-data-management-and-computational-workflows/index.html 

Please spread this announcement in your organization as you see fit.

Best

Celia

 

SURFsara, ELIXIR-nl and ELIXIR introduce how data management based on iRODS can be incorporated into computational workflows.

Date: 25 Jun 2018

Time: 09:30-16:30

Location:  <https://www.surf.nl/en/about-surf/contact/directions-to-surfsara/index.html> SURFsara Science Park 140 VK1/2

Prior knowledge needed? No

Description

With the advance of new technologies, data volumes and numbers of files are constantly increasing. Good datamanagement is therefore an essential part of data-driven research. In response to the need of researchers and new regulations (e.g. GDPR) for better data management tools, we are currently developing a data management platform at SURFsara on the basis of iRODS.
For whom?
Bioinformaticians, computational biologists, data stewards in the field Life Sciences. 
Training objectives
Learn about the concept of iRODS’s resource abstraction
Gain hands on experience with managing data with iRODS
Steer data flows across different iRODS administrative domains
Work with metadata attached to data managed by iRODS and how to query for data using this metadata.
After an introduction the training will purely be hands-on and will be taught in the style of software and data carpentry, i.e. live-coding sessions with exercises.

Topics in this course will include:
Data Life Cycle and FAIR principles

*         iRODS concepts

*         Metadata and searching for data in iRODS

*         Building a computational pipeline that draws on data managed in iRODS

Requirements (or pair up with someone familiar with):
Bash commands and basic python
You need to be able to connect with ssh, bring your own client

 

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