SDRQuerier: A Visual Querying Framework for Cross-National Survey Data Recycling.

Public opinion surveys constitute a widespread, powerful tool to study peoples' attitudes and behaviors from comparative perspectives. However, even global surveys can have limited geographic and temporal coverage, which can hinder the production of comprehensive knowledge. To expand the scope of comparison, social scientists turn to ex-post harmonization of variables from datasets that cover similar topics but in different populations and/or at different times. These harmonized datasets can be analyzed as a single source and accessed through various data portals. However, the Survey Data Recycling (SDR) research project has identified three challenges faced by social scientists when using data portals: the lack of capability to explore data in-depth or query data based on customized needs, the difficulty in efficiently identifying related data for studies, and the incapability to evaluate theoretical models using sliced data. To address these issues, the SDR research project has developed the SDRQuerier, which is applied to the harmonized SDR database. The SDRQuerier includes a BERT-based model that allows for customized data queries through research questions or keywords (Query-by-Question), a visual design that helps users determine the availability of harmonized data for a given research question (Query-by-Condition), and the ability to reveal the underlying relational patterns among substantive and methodological variables in the database (Query-by-Relation), aiding in the rigorous evaluation or improvement of regression models. Case studies with multiple social scientists have demonstrated the usefulness and effectiveness of the SDRQuerier in addressing daily challenges.

The Polish Panel Survey (POLPAN) dataset: Capturing the impact of socio-economic change on population health and well-being in Poland, 1988-2018.

The Polish Panel Survey, POLPAN, one of the longest continuously run panel studies in Europe, is designed to facilitate research on the socio-economic structure, inequalities and the individual life course under conditions of social change in Poland. POLPAN is well suited for studying how women's and men's health and wellbeing are influenced by their life conditions, such as financial and social resources, that Poland's post-1989 profound socio-economic transformations impacted, and how health outcomes further shape individuals' attitudes and behaviours. Initiated in 1987-88, POLPAN has been fielded in five-year intervals, most recently in 2018, with wave-specific samples representative of the Polish adult population and response rates for full panelists consistently above 70%. In POLPAN, health assessment measures are collected in all waves, as part of respondents' multi-dimensional and life course inequality profile. Data on self-rated physical and psychological health, collected since 1998 (Wave Three), are complemented with respondents' Nottingham Health Profile and core anthropometric information about personal weight and height (Wave Five onwards); health and wellbeing related reasons for work interruptions (since Wave Four); information on extensive hospital stays (Wave Six onwards) and respondents' chronic or protracted illnesses (in Wave Six), respondents' disability status (all waves). The newly released integrated 1988-2018 POLPAN dataset is available on Harvard Dataverse, or upon request, via e-mail: polpan@ifispan.waw.pl.