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DASISH: What? Why?

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?.

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DASISH: What? Why?

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  1. Data Service Infrastructure for the Social Science and the Humanities (DASISH): Improving Survey Quality in Cross-national ResearchEric HarrisonCity University LondonVenice, April 2014

  2. 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

  3. 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)

  4. 3.1. 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

  5. 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

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