SERISS

Duration

4 years

Status

Researchers in social sciences, policymakers

Location

TBD

Funder

TBD

Project Title

Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS)

Funded by

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654221. The EC is not responsible for the content of this site. Neither the EC nor the project beneficiaries are liable for any use made of the information contained herein or for the content of linked external websites or pages.

Duration

1 July 2015 - 1 August 2019

Goal of the project

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.

Lead partner

European Social Survey Research Infrastructure Consortium (ESS ERIC), London, UK

WageIndicator actors in this project

Kea Tijdens, AIAS/HSI, University of Amsterdam

Partners

The main SERISS Consortium comprises the three leading European Research Infrastructures in the social sciences – the European Social Survey (ESS ERIC), the Survey of Health, Ageing and Retirement in Europe (SHARE ERIC) and the Consortium of European Social Science Data Archives (CESSDA ERIC) – together with three developing research infrastructures – the Generations and Gender Programme (GGP); the European Values Study (EVS) and the WageIndicator Survey.

Associate Partner

WageIndicator Foundation, Amsterdam

Website

Seriss.eu

Event

2019-FEB-14/15: Survey Codings tools, developed under Workpackage 8 of the SERISS project, were showcased at an event that took place at the University Ca’ Foscari in Venice.

Final Event

2019-JUL-17: Showcasing the SERISS project

at the 8th ESRA Conference in Zagreb, Croatia, 2019-JUL-15/19

Reports

Belloni, M., Tijdens, K.G. (2019) Occupation > industry predictions for measuring industry in surveys. Deliverable 8.11 of the SERISS project funded under the European Union’s Horizon 2020 research and innovation programme GA No: 654221. Available at: www.seriss.eu/resources/deliverables

Tijdens, K.G., Kaandorp, C.S. (2018) Validating occupational coding indexes for use in multicountry surveys. Survey Insights: Methods from the Field. Retrieved from https://surveyinsights.org/?p=10422

Tijdens, K.G. (2018) Database of occupations for five languages + explanatory note. Deliverable 8.07 of the SERISS project funded under the European Union’s Horizon 2020 research and innovation programme GA No: 654221. Available at: www.seriss.eu/resources/deliverables

Tijdens, K.G. (2016) Database of industries + explanatory note. Deliverable D8.10 of the SERISS project funded under the European Union’s Horizon 2020 research and innovation programme GA No: 654221. Available at: www.seriss.eu/resources/deliverables

Tijdens, K.G. (2016) Database of employment status + explanatory note. Deliverable 8.12 of the SERISS project funded under the European Union’s Horizon 2020 research and innovation programme GA No: 654221. Available at: www.seriss.eu/resources/deliverables

Tijdens, K.G. (2016) ESEG-2014 coding scheme + explanatory note. Deliverable 8.12 of the SERISS project funded under the European Union’s Horizon 2020 research and innovation programme GA No: 654221. Available at: www.seriss.eu/resources/deliverables

Final results

Seven major tools that can be adapted for other survey projects are now available, including a series of videos that show how to use them. videos of our training courses on topics including data management, data handling and harmonisation as well as statistical training for secondary data users. All the project deliverables can be downloaded on the SERISS website.