Training

Topic

Audience

Type

Training Resources

Topic
Audience

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: CESSDA Roadshow on Circular Economy

2021-11-10 Data management Data discovery Webinar Video
This CESSDA® Roadshow on the Circular Economy brings together experts from service providers and top-level researchers to explore the key role of the social sciences with impartial, reliable data on attitudes and practices to recycling and eco-design.

Presentation: CESSDA Roadshow on Cancer and Chronic Diseases

2021-11-10 Data management Data discovery Presentation Slides
This CESSDA® Roadshow focuses on how CESSDA Data Catalogue® and Data Management Expert Guide® support researchers in work on cancer and major chronic diseases based on impartial and trusted datasets and metadata.

Webinar: CESSDA Roadshow on Cancer and Chronic Diseases

2021-11-10 Data management Data discovery Webinar Video
This CESSDA® Roadshow focuses on how CESSDA Data Catalogue® and Data Management Expert Guide® support researchers in work on cancer and major chronic diseases based on impartial and trusted datasets and metadata.

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.