Start: Wednesday, 17 March 2021 @ 09:00

End: Wednesday, 31 March 2021 @ 00:00

Timezone: Amsterdam

Did you ever wonder how to improve your data handling in your daily research practice? Want to improve the FAIRness of your data? Did you recently start a job as data steward? Are you thinking of starting a career as a data steward in the life sciences in academia or industry? Join this introductory course to FAIR data stewardship in the life sciences!

The course exists of the following six half-days, that together form a full course:
* March 17, 2021 (13-17 CET)
* March 18 (13-17)
* March 22 (9-13)
* March 24 (9-13)
* March 29 (9-13)
* March 31 (9-13)

During this course researchers, data stewards and experts of fields related to data stewardship will introduce you to several areas of research data management and technologies which ease the process of creating and maintaining FAIR research data.

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

We will pass the stages of the data life cycle in more detail in the training modules of the course. The following topics will be discussed at an introductory level:
* Data stewardship competency framework & the FAIR data stewardship landscape
* (Reviewing) data management plans
* Informed consent procedures
* Data discovery and capturing data
* Preregistration
* Data security and privacy
* Infrastructure for storing and sharing data
* Tools for processing and analysing data
* Organising, versioning and documenting data
* Data and software carpentry
* Archiving data
* Data rights
* FAIR data
* Metadata & ontologies

Contact: Mijke Jetten,

Keywords: Data preserving, Data reuse, Data analysis, Data management planning, Data processing, Data sharing, Data collection

Additional information

Venue: Online

City: Online

Country: Online

Organizer: DTLS - Dutch Techcentre For Life Sciences


  • First come first served

Target audience: PhD candidate

Capacity: 30

Event types:

  • Workshops and courses

Scientific topics: Data management, FAIR data

Operations: Data handling, Analysis

Related training materials:

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