Daniel Tesfa
Description
Research data for researcher Daniel Tesfa including datasets, metadata records, code, protocols, and persistent identifiers. Metadata follows FAIR principles (Findable, Accessible, Interoperable, Reusable): standardized schemas, machine-readable formats (RDF), access conditions, licensing, and provenance. Covers topics: human trafficking, Tigray, Ethiopia, post-war, conflict, human rights violations; institutions: affiliation Aksum University, Leiden University, contact: HDS@eepa.be
Source
- FDP
- EEPA FAIR Data Point
- Catalog
- Human Trafficking Researchers (HTR)
- Application
- view all in this application
- Dataset URI
- https://fairdp.eepa.be/dataset/cc4a343a-aa76-4477-9a8c-d1d619e0a178
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Contact Information
- HDS@eepa.be
Keywords
Distributions (3)
SPARQL Endpoints
The study employs a qualitative case study research design, situated within a phenomenological ethnographic approach, aimed at understanding the lived experiences and structural conditions of ICT-facilitated human trafficking for ransom of Eritreans in post-war Tigray, Ethiopia. The selection of weredas (districts) bordering Eritrea involved cluster sampling based on Eastern, Central, and Northwestern zones of Tigray, and human trafficking hotspots were subsequently identified. Fieldwork was conducted between October 2024 and May 2025 in the human trafficking hotspots in Eastern, Central and Northwestern zones of Tigray. The research focused on ICT-mediated trafficking patterns, drawing on the experiences of Eritrean victims, their families, and law enforcement actors in Tigray. 96 interviews were conducted on human trafficking for ransom and the role of ICT. The researchers excluded 28 interviews because they lacked specific information. Therefore, the empirical data consist of 68 semi-structured interviews, collected face-to-face in Tigray and Addis Abeba, and online with participants in the Netherlands, from which 75 human trafficking cases were identified. The interviews were conducted in Tigrinya. The interviewees include seven trafficked Eritrean victims, 18 relatives of victims other than those seven indicated, 27 legal professionals (lawyers and judges) who handled relevant court cases and 16 police officers who led investigations into trafficking in the indicated localities. Data analysis followed a three-stage coding procedure: 1. Interview records and field notes were transcribed and translated, followed by reviews to identify emergent concepts and recurring categories in an open coding strategy. 2. The labels were then grouped into sub-themes that captured systematic patterns in the data. 3. The themes were linked back to the theoretical framework of digital black holes through axial coding. 4. A separate process was established for the counts and visualisation of the data. We used binary counts for the types of coercion and exploitation as well as offline communication labels. We used multi-response counts for the other labels. The indicators were then counted per case.
- Endpoint URL
- https://ag1jdz6nqkhfjj72.allegrograph.cloud/repositories/DT01
- Contact
- HDS@eepa.be