Working Through Ethics Review of Big Data Research Projects
An Investigation into the Experiences of Swiss and American Researchers
Bibliographic Data
| ID | 12807275 |
|---|---|
| Authors | Maddalena Favaretto (0000-0003-2647-301X, University of Basel, corresponding author), Eva De Clercq (0000-0002-7835-9553, University of Basel), Matthias Briel (0000-0002-2070-5230, University Hospital of Basel), Bernice S Elger (0000-0002-4249-7399, University of Basel) |
| Year | 2020 |
| Volume | 15 |
| Issue | 4 |
| Pages | 339-354 |
| Publication date | 2020-06-19 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Empirical Research on Human Research Ethics (JOURNAL) |
| Journal identifiers | ISSN: 1556-2646 • E-ISSN: 1556-2654 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1556264620935223 |
| PMID | 32552544 |
| OpenAlex | W3036941023 |
| Language | EN |
| Citations received | 7 |
| References cited | 46 |
The employment of Big Data as an increasingly used research method has introduced novel challenges to ethical research practices and to ethics committees (ECs) globally. The aim of this study is to explore the experiences of scholars with ECs in the ethical evaluation of Big Data projects. Thirty-five interviews were performed with Swiss and American researchers involved in Big Data research in psychology and sociology. The interviews were analyzed using thematic coding. Our respondents reported lack of support from ECs, absence of appropriate expertise among members of the boards, and lack of harmonized evaluation criteria between committees. To implement ECs practices we argue for updating the expertise of board members and the institution of a consultancy model between researchers and ECs
Big data · Engineering ethics · Ethics committee · Institution · Political science · Public relations · Qualitative research · Research ethics · Research integrity · Social science · Sociology · Thematic analysis · Computer Science · Engineering · Ethics and Social Impacts of AI · Ethics in Clinical Research · Psychology · Public Administration · Risk Perception and Management
The geographies of ethics in Digital Humanities research
Ethical review of AI health research
Ethical Issues in Social Science Research Employing Big Data
A Scoping Review of Empirical Research on Research Ethics Board Membership and Expertise
Exploring Ethical Competence in Academia
The Challenges of Big Data for Research Ethics Committees
Medical Students’ Views on Their Experience of Applying to Research Ethics Committees
Applied Thematic Analysis
The Ethics of Big Data
The Case against Ethics Review in the Social Sciences
Computational Social Science
Experimental evidence of massive-scale emotional contagion through social networks
Big data and human geography
Computer Science Security Research and Human Subjects
Reasoning “Uncharted Territory”
Ethics Regulation in Social Computing Research
Bureaucratic Ethics
Bit by Bit
Using thematic analysis in psychology
Critical Questions for Big Data
What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets
Where are human subjects in Big Data research? The emerging ethics divide
| Unique citing works | 7 |
|---|---|
| Citations per year | 1,4 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |