Social Sciences and Digital Humanities Archive – SODHA
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    133 research outputs found

    rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1)

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    This module captures intra-household dynamics in care responsibilities, paid work, access to resources and sharing of resources. It contains questions on household composition, use of childcare services, care responsibilities for a person in need of support due to age, illness or disability, access to resources, resource sharing, and material deprivation

    POLITICIZE conjoint survey experiment on democratic preferences

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    This dataset contains the conjoint survey experimental data on citizens' democratic preferences gathered in 15 EU countries. The survey experiments took place in 2021 within the framework of the POLITICIZE project, which aims to study and understand non-elected politics in contemporary European democracies

    Seed lists for BelgicaWeb research project related to the archiving of web and social media content

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    These spreadsheets are part of the research data produced within the BelgicaWeb project. It is a BRAIN 2.0 project funded by BELSPO (2024-2026). BelgicaWeb aims to make Belgium’s born-digital heritage accessible and FAIR, i.e. Findable, Accessible, Interoperable and Reusable by developing a user-friendly access platform and an API that enables access at data level. The spreadsheets list the seeds that were given to the Browsertrix crawler software to create a corpus of archived web and social media content

    SEAD Platform Survey

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    The SEAD Platform Survey is conducted by the SEAD (Sustainable Employment in the Age of Digitalization) Consortium consisting of partners from VUB (Vrije Universiteit Brussel), KU Leuven, ULiège (University of Liège) and ULB (Université libre de Bruxelles) - funded by Belspo. The SEAD Platform Survey is a cross-sectional internet survey, designed to investigate the socio-demographic characteristics, work- and employment conditions, health and well-being, social protection, income (security) and career prospects of workers in the Belgian platform economy. The target population of the survey was made up of platform workers living in Belgium, regardless of age or type of platform activity. The SEAD Platform Survey surveyed a gross total of 918 platform workers between February 2022 until February 2023. After considering inclusion criteria, duplicate entries, completeness, missing data, minimum valid information on job quality variables, and unrealistic values, the sample was limited to 368 platform workers. Further information about the recruitment process and data quality can be found in the following publication: Gevaert, J., Doms, J., Vandevenne, E. et al. Strategies for surveying platform workers: lessons from a Belgian case study. Qual Quant (2024). https://doi.org/10.1007/s11135-024-01935-5 Only metadata is deposited because of restricted exploitation specified in the informed consent information sheet for participants

    Concordance list for Antwerp street names 1907

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    This dataset is a concordance list of French and Dutch street names in use in the city of Antwerp in the year 1907. The administrative (police as well as ‘kadaster’) district is given for every individual house based on the house numbers in the street. The dataset numbers 1500 streets. The dataset makes it possible to automatically link French and Dutch Antwerp street names and generate the administrative districts

    POLITICIZE Survey Dataset - Luxembourg Climate Assembly

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    The Klima Biergerrot (KBR) study is a panel study conducted with a representative sample of the Luxembourg population alongside the Luxembourg Climate Assembly (Klima Biergerrot) that was organized by the Luxembourg Government in 2022. Three survey waves were conducted at the beginning (January-February 2022), the middle (June-July 2022), and the end of the process (October-November 2022). The questionnaires were provided in Luxembourgish, French, Dutch, and English. The data and codebook are in English. Fieldwork reports are available in French

    Discourse analysis of participation in Flemish cultural policy

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    This dataset contains 140 Flemish cultural policy documents published between 1990 and 2024. The collection includes strategic notes, policy plans, evaluation reports, ministerial briefs, and other official texts. The dataset was compiled for a critical discourse analysis examining how the rhetoric of participation is mobilised within Flemish cultural policy over time. The accompanying study identifies underlying paradigms and traces patterns, shifts, tensions, and omissions in participatory discourses across three decades of policymaking. The dataset enables researchers to explore how notions of participation relate to broader political, cultural, and institutional power dynamics. All documents were collected from public governmental sources or official archival portals

    Study design characteristics in experience sampling research (SHARE)

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    This dataset originates from an experimental experience sampling study that investigated how different incentive schemes and retrospective time frames influence data quantity and quality in intensive longitudinal research. The study aimed to assess how methodological factors—specifically, incentive type (fixed payment, fixed payment with personalized feedback, or incremental payment) and retrospective time frame (since the last beep, or in the last 30/60/90 minutes)—affect participant experience and behavior during a 14-day experience sampling method (ESM) protocol. The dataset includes data from 192 university students who completed a baseline session, a 14-day ESM period, and a follow-up assessment. During the ESM period, participants received nine semi-random notifications per day (between 9:00 and 22:30) and completed brief questionnaires assessing, for example, momentary affect (positive and negative) and context. Baseline and follow-up measures include, for example, demographic information, information about personality and mental health topics, as well as questionnaires pertaining to the methodological aspects of the study. The dataset also includes response times for the ESM questionnaires. For more information about the study/dataset, we refer the reader to the (pre)registrations of the project: https://osf.io/t6wkc/?view_only=755b5b70760344b8860ed7d2f2c70de3 & https://osf.io/smqb8/overview?view_only=6d86553d7afa42829f31c89a6c0e9191</i

    BISHOPS - Belgian Infrastructure for Social Sciences and Humanities

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    Fundamental research is crucial for progress and innovation. However, researchers often face financial constraints, making it essential to maximize the use of existing resources and avoid duplicating efforts. One key strategy is to share research data, aligning with the growing movement toward open data—though this also brings challenges, such as the need for quality frameworks and researcher protection (e.g., intellectual property rights). To support this, the BISHOPS project (Belgian Infrastructure for Social Sciences and Humanities Open Science) was launched. It complements the SODA project, which aims to create a data archive that meets the standards of the Consortium of European Social Science Data Archives (CESSDA). The SODHA archive (www.sodha.be) allows social science research data to be preserved and reused. BISHOPS expands this infrastructure to better serve the humanities, ensuring that valuable and hard-to-collect data in these fields are not lost. Major research funders in Belgium—FWO, F.R.S.-FNRS, and BELSPO—support this initiative. For example, recent Brain 2.0 calls require the use of the SODHA/BISHOPS infrastructure. Objectives of the BISHOPS Project: Analyze the needs of future users. Study metadata standards across disciplines. Design an infrastructure tailored to those needs. Provide training and share best practices. Develop a sustainable business model for long-term operation

    Recruitment Questionnaire 2024

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    Pseudonymized survey microdata from the 2024 Recruitment Questionnaire of The Social Study (TSS) — a probability-based panel survey of individuals aged 16+ residing in private households in Belgium. The data were collected during the panel's recruitment phase, which used a mixed-mode design (push-to-web followed by face-to-face) and a stratified two-stage clustered sampling strategy, with individuals randomly selected from the Belgian National Register. The dataset includes information from respondents who: Completed the recruitment questionnaire, and Consented to join the panel, forming the initial pool of TSS panelists. Key features of the dataset include: Sociodemographic variables (age, gender, education, region, language, etc.), Household composition and housing characteristics, Consent information for future participation, Sampling weights to correct for design and nonresponse biases. It covers respondents from all three Belgian regions, excluding the German-speaking community for practical reasons. The file supports both cross-sectional analyses of recruitment-stage characteristics and preparation for longitudinal panel data collection

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