Data Service Infrastructure for the Social Science and the Humanities (DASISH): Improving Survey Quality in Cross-national Research Eric Harrison City.

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Presentation transcript:

Data Service Infrastructure for the Social Science and the Humanities (DASISH): Improving Survey Quality in Cross-national Research Eric Harrison City University London Venice, April 2014

DASISH: What? Why? Consortium of nineteen partners from five infrastructures (ESS, SHARE, CESSDA, CLARIN, DARIAH) Series of work packages aiming to focus on common ground and pool expertise Social science WP on Survey Quality: producing software to improve survey management, data collection and user documentation Ultimate goal - interoperability

Three task sets 3.1. Software for improved coding of occupation (ESS: City) 3.2. Multi-language questionnaire development tool: in three parts (ESS: City) Questionnaire design documentation databank Translation tool and databank Question databank 3.3. Fieldwork monitoring system (SHARE: MEA) 3

Occupation Coding To develop software for Europe-wide surveys to collect and code occupation data more accurately, consistently and cost-effectively Key is to enable better coding at time of collection Two directions in original bid: CAPI tool allowing interviewer to select best match to text from respondent Web survey based occupation tree that was trialled in the Euroccupations project Open source code for use in different CAPI languages 4

Progress and future Colleagues at Warwick leading work to pilot Cascot International in selected countries Colleagues at Tilburg pursuing related work on text matching and apps for handheld devices Wider network of colleagues via InGRID project – database of job titles, skills and tasks DASISH project concludes in December 2014 Horizon 2020: The work continues (we hope) with the aim of covering every ESS/SHARE country