Quantitative data analysis

About 200 online courses dedicated to various disciplines including humanities and social sciences.

The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of about 140,000 individuals aged 50 or older (around 380,000 interviews).

Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS) is a four-year project that aims to strengthen and harmonise social science research across Europe. It brings together leading European Research Infrastructures in the social sciences - ESS, the Survey of Health, Ageing and Retirement in Europe (SHARE ERIC) and Consortium of European Social Science Data Archives (CESSDA ERIC) - alongside organisations representing the Generations and Gender Programme (GGP), European Values Study (EVS) and the WageIndicator Survey.

Focused around three key themes – key challenges facing cross-national data collection, breaking down barriers between research infrastructures, and embracing the future of social sciences – SERISS will address issues relating to survey design and data collection, data management and curation from a collaborative, cross-national perspective. The project will better equip Europe’s social science data infrastructures to play a major role in addressing the key societal challenges facing Europe today and ensure that national and European policymaking is built on a solid base of the highest-quality socio-economic evidence.

SERISS has developed a suite of online tools, webinars and lectures to provide training on data management, data handling and harmonisation, as well as on statistical analysis to a wider social science community.  

Teaching basic lab skills for research computing. Lessons and workshops in three core topics: the Unix shell, version control with Git, and a programming language (Python or R). 

The aim of the CLARIN Knowledge Sharing Initiative is to ensure ensure that the available knowledge and expertise provided by CLARIN consortia does not exist as a fragmented collection of unconnected bits and pieces, but is made accessible in an organized way to the CLARIN community and to the Social Sciences and Humanities research community at large. 

One central step in building the Knowledge Sharing Infrastructure is the establishment of Knowledge Centres. Most existing CLARIN centres are able to get the status of a Knowledge Centre right away; the K-Centres rather formalize and centrally register the existing expertise but does usually not require much additional effort from an institute except that the knowledge-sharing services have to be reliable and their skope has to be made explicit on a dedicated web-page of the respective institute(s).

The list of CLARIN Knowledge Centres is available here: 

https://www.clarin.eu/content/knowledge-centres

Training materials used for the 3rd Int'l Summer School on Data Science (SSDS 2018)

Final resource accessible here: https://github.com/SSDS-Croatia/SSDS-2018