Semi-structured interview transcripts from a study exploring data curation for qualitative data reuse and big social research. The data was collected from researchers and curators in the United States, focusing on six key issues: context, data quality, comparability, consent, privacy, and intellectual property. Sara Mannheimer authored the dataset, which was last updated in October 2025.
Use Cases
- Analyzing epistemological and ethical issues in qualitative data reuse based on interview discussions.
- Comparing data curation practices for qualitative and big social data based on researcher perspectives.
- Investigating strategies for resolving privacy and confidentiality concerns in data archiving based on the six identified issues.
- Studying the role of metadata and archiving in supporting data trustworthiness based on the interview guides.
Strengths
- The dataset is structured around six clearly defined research issues identified from a literature review.
- Participants were drawn from three distinct categories: big social researchers, qualitative researchers, and data curators.
- The dataset was last updated on 2025-10-20, indicating recent maintenance.
Limitations
- The number of rows, columns, and file formats are unknown, limiting suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Data collection was limited to participants working in the United States, which may introduce geographic bias.
Provenance
- Source
- Mannheimer, Sara; QDR Harvested Dataverse
- Collection Method
- Semi-structured interviews centered on specific incidents of data archiving, reuse, or curation.
- Freshness
- Last updated 2025-10-20 19:59:06
- Geography
- United States