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?
Then join this introductory course to FAIR data stewardship in the life sciences.
The course dates are:
March 17 (13-17 CET), March 18 (13-17 CET), March 22 (9-13 CET), March 24 (9-13 CET), March 29 (9-13 CET) and March 31 (9-13 CET)
The course will be virtually, via Zoom
During the 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 detailed course program will be made available soon.
The following topics will be discussed on an introductory level: data stewardship competency framework & the FAIR data stewardship landscape; (reviewing) data management plans; informed consent procedures; data discovery & capturing data; preregistration; data security & privacy; infrastructure for storing & sharing data; tools for processing & analysing data; organising, versioning & documenting data; data and software carpentry; archiving data; data rights; FAIR data; metadata & ontologies.
This course is part of the Data Analysis and Stewardship theme of Helis Academy and is organised by DTL and DTL collaborators. 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.
You can register for this introductory course here.