Training
Training Resources
Online workshop: Using the statistical language R as a Geographic Information System
2021-12-22 Data analysis Webinar Video
This CESSDA event is a recording of the hands-on workshop on Geographic Information Systems for social scientists with some experience in R that took place on 23 November 2021.
Presentation: CESSDA Data Archiving Guide Soft Launch
2021-11-16 Data preservation Presentation Slides
The Data Archiving Guide (DAG) is a new resource developed by CESSDA and is designed to provide employees at data archives and repositories with an understanding of the work a data archive performs. The information in the DAG was collected by experts from CESSDA social science data archives refle...
Webinar: Making Social Science Research Transparent
2021-11-11 Data discovery Data management Webinar Presentation Slides
High-quality data have the potential to be reused in many ways. Archiving and publishing your data properly is at the core of making your data FAIR and will enable both your future self as well as others to get the most out of your data. Recently, more and more scientific journals are implementin...
Anonymisation for data sharing in practice [Online Workshop, Presentation]
2021-11-11 Data management Data preservation Lesson/Course Slides
This resource contains a recording of a CESSDA Train the Trainer Workshop on “Anonymisation for data sharing in practice". It includes information on the tools needed to teach the fundamentals of data anonymisation and disclosure control in training sessions.
Presentation: CESSDA Roadshow on Climate Change
2021-11-10 Data management Data discovery Presentation Slides
This CESSDA® Roadshow on 14 October 2021 is a deep dive on climate change research in the social sciences, which are key to ensuring impartial, reliable and trusted datasets contribute to tackling this global challenge.
Webinar: CESSDA Roadshow on Climate Change
2021-11-10 Data management Data discovery Webinar Video
This CESSDA® Roadshow on 14 October 2021 is a deep dive on climate change research in the social sciences, which are key to ensuring impartial, reliable and trusted datasets contribute to tackling this global challenge.