banner

FAIR Data Stewardship – digital data scholarship for wetlab scientists

The course will introduce the trainees to important concepts of data stewardship. We start with a general introduction covering the data life cycle, the FAIR principles and a definition of data stewardship and data stewards.

 

Objectives


Gaining knowledge on:

  • Research data management Life Cycle
  • FAIR principles
  • FAIR data stewardship

Practical experience in:

  • Data management planning
  • Cleaning data (Step 1 of making data FAIR)
  • Semantic interoperability between data
  • Archiving and publishing of data
  • Persistent identifiers and their use cases

Required skills
Some basic experience with programming and scripting languages like python, perl, R, matlab, etc. are an advantage, but not needed.

 

Required software
Please bring your own laptop. For day 1 and 3 you will need a web browser. Day 2 requires to install some software:

Docker: https://docs.docker.com/install/
Docker-compose: https://docs.docker.com/compose/install/
validating RDF: http://book.validatingrdf.com/
And as a recommended text editor: https://www.sublimetext.com/

Further preparatory instructions for day 2 will follow shortly before the course starts.

Programme

The course will introduce the trainees to important concepts of data stewardship. We start with a general introduction covering the data life cycle, the FAIR principles and a definition of data stewardship and data stewards.

 

We will pass the stages of the data life cycle in more detail in the training modules of this 3 day course.

 

Day 1: Why use a datamanagement plan and what for? On day one trainees will investigate data management plans, which types are there and how they should be used.

 

Day 2: Mastering the data chaos during the research phase. On day two the course highlights how to work with data during the research phase, explaining how to create well formatted data which helps in the second module of day two to make data interoperable already during the active research phase.

 

Day 3: Boost your visibility and get cited for your data! On day three trainees will have an in-depth at persistent identifiers, different use cases and types of identifiers. Finally we are closing the data life cycle by making data fit for sharing, archiving and publishing. The training is organised by DTL and delivered as a joint effort by DTL partners.

 

Find the full programme of the course here

Event Details

Date:

Monday, May 27, 2019 - Wednesday, May 29, 2019

Location:

Darwin Incubator, Galileilaan 15, 2845 Niel, Belgium

Price:

The registration fee for the 3-day course includes coffee/tea and lunch. The fee can be paid by Ideal, credit card or Paypal.

Fee categories:

Unemployed: € 125,00 (excl VAT)
PhD student: € 185,00 (excl VAT)
Academic researcher: € 250,00 (excl VAT)
Industry: € 375,00 (excl VAT)

Organiser(s):

This course is part of the Data Analysis and Stewardship theme of Helis Academy and is organised by DTL and DTL collaborators. The partners in this Helis Academy theme are: DTL, VIB, TU/e and Maastricht University and info about other courses in the theme of Data Analysis and Stewardship can be found on the Helis Academy website and on the Helis Academy page on the DTL website.

2019-05-27 12:00:00 2019-05-29 16:00:00 Europe/Brussels FAIR Data Stewardship – digital data scholarship for wetlab scientists Darwin Incubator, Galileilaan 15, 2845 Niel, Belgium <p>This course is part of the Data Analysis and Stewardship theme of Helis Academy and is organised by DTL and DTL collaborators. The partners in this Helis Academy theme are: DTL, VIB, TU/e and Maastricht University and info about other courses in the theme of Data Analysis and Stewardship can be found on the Helis Academy website and on the Helis Academy page on the DTL website.</p>

More info?

For any further information about this event, please do not hesitate to get in touch with our Programme Manager

Alternate Text

Micheline De Mey

Programme Manager

| |

Interested in a regular update of the Life Sciences and biotech sector in Flanders?