Toward labor-sensitive research
Health data labor and targeted inclusion in precision medicine research
Datos Bibliográficos
| ID | 4590664 |
|---|---|
| Autores | Daan Kenis (0000-0002-3105-8251, University of Antwerp), Ina Devos (Flemish Institute for Technological Research) |
| Año | 2025 |
| Volumen | 383 |
| Páginas | 118444 |
| Fecha de publicación | 2025-10-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Social Science & Medicine (JOURNAL) |
| Identificadores de la revista | ISSN: 0277-9536 • E-ISSN: 1873-5347 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socscimed.2025.118444 |
| PMID | 40752243 |
| OpenAlex | W4412565063 |
| Idioma | EN |
| Referencias citadas | 68 |
Inclusion (mineral · Social science · Sociology · Biomedical Ethics and Regulation · Ethics in Clinical Research · Healthcare cost, quality, practices · Medicine
Clinical Labor
What Makes Clinical Research Ethical?
Genomics is failing on diversity
Marginalization
The “All of Us” Research Program
Standards and guidelines for the interpretation of sequence variants
What we do with data
Precision medicine and the problem of structural injustice
Services in the self
Between data providers and concerned citizens
The Precision Medicine Nation
Does Solidarity Require “All of Us” to Participate in Genomics Research
Data Paradoxes
Value-creation in the health data domain
Cultivating inclusivity in precision medicine research
Perspectives on Precision Health Among Racial/Ethnic Minority Communities and the Physicians That Serve Them
One for All, All for One? Containing the Promise of Solidarity in Precision Medicine
Transgender peoples’ experiences and perspectives about general healthcare
Barriers to healthcare among Muslim women
A Systematic Review of Barriers and Facilitators to Minority Research Participation Among African Americans, Latinos, Asian Americans, and Pacific Islanders
Exploitation, structural injustice, and the cross-border trade in human ova
We All Have a Responsibility to Each Other’
Public Transportation
Caring for data
National Biobanks
Algorithmic bias
Fat on Campus
The Hidden Labor of Translation
The "We" in the "Me
Digital phenotyping and data inheritance
Matters of time in health and illness
The paradox of haemodialysis
Doing the Dirty Work
Patients-in-Waiting
Patient data work
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |