Helis FAIR data stewardship course
Digital data scholarship for wetlab scientists
- Date start: Monday May 27th 2019 (12 CET)
- Date end: Wednesday May 29th 2019 (16 CET)
- Location: Darwin Incubator, Galileilaan 15, 2845 Niel, Belgium
- There is a maximum number of 15 participants.
Wet-lab scientists - from industry and academia - and graduate students in the Life Sciences who wish to improve their digital scholarship on data handling. Some basic experience with programming and scripting languages like python, perl, R, matlab, etc. are an advantage, but not needed.
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.
- On day one trainees will investigate data management plans, which types are there and how they should be used.
- 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.
- 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.
The full programme of the Course can be found under the Course Programme Tab
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
Some basic experience with programming and scripting languages like python, perl, R, matlab, etc. are an advantage, but not needed.
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.
Trainers (name, affiliation)
- Jasmin Boehmer, UMCU Bioinformatics Expertise Core, Center for Molecular Medicine, University Medical Center Utrecht
- Cees Hof, DANS
- Celia van Gelder, Dutch Techcentre for Life Sciences
- Christine Staiger, Dutch Techcentre for Life Sciences
- Santosh Ilamparuthi, Faculty of Electrical Engineering, Mathematics and Computer Science, TU Delft
- Esther Plomp, Faculty of Applied Sciences, TU Delft
- Andra Waagmeester, Owner of Micelio
- Frederieke Ehrhart, Department of Bioinformatics NUTRIM School of Nutrition and Translational Research in Metabolism Faculty of Health, Medicine and Life Sciences, Maastricht University
Partners for this course
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.
Courses in the other 5 themes of Helis Academy can be found via the Helis Academy website
The registration form for the Course can be found under the Register Tab
Helis FAIR data stewardship courseRegistration website for Helis FAIR data stewardship course
Celia van Geldercelia.email@example.com
Celia van Geldercelia.firstname.lastname@example.org
Helis FAIR data stewardship course Helis FAIR data stewardship course 0.00EUR
Darwin IncubatorDarwin IncubatorGalileilaan 15 2845 Niel Belgium