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The CESSDA® Roadshow series kicks off with a deep dive on COVID-19 on 30 September 2021, highlighting cross-national datasets and surveys in the Data Catalogue (CESSDA DC®) with a practical guide and demo on how to discover them. Designed as a practical deep dive, the CESSDA® Roadshow on COVID-19 brings together researchers and service providers on how to use and re-use the reservoir of CESSDA® COVID-19 resources for the social sciences, such as national data archives, surveys and gender-related studies. Participants will learn about real-world examples of fast-track publication and collaboration. Sessions on the CESSDA Data Management Expert Guide® give a practical guide on data discovery, archiving and publishing routes, as well as European diversity. Interactive discussions bring insights into societal impacts from a CESSDA COVID-19 Ambassador and Eurodoc, the European Council of Doctoral Candidates and Junior Researchers. The event wraps-up with more interactive discussions on how CESSDA and its service providers are supporting researchers on global challenges. The video is available on the CESSDA Training YouTube channel.
CESSDA Data Catalogue, Data Management Expert Guide, data, DMEG, COVID-19
CESSDA Data Catalogue, Data Management Expert Guide, data, DMEG, COVID-19
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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