Observational studyScientific reports2021
A best-worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- The Choice of Task Format can Affect the Quality of Published Best-Worst Scaling Studies.The patient · 2026Review
- Information Needs for HPV Vaccination Among Different Female Population Groups in China.Scientific reports · 2026Article
- Privacy in perspective: research participants' priorities and concerns related to sharing data generated in human neuroscience studies.Neuroethics · 2025Article
- Diverse sources of normativity in open science and their implications for ethical governance.Royal Society open science · 2024Article
- Assessing patient information needs for new antidiabetic medications to inform shared decision-making: A best-worst scaling experiment in China.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Prioritization of ethical concerns regarding HIV molecular epidemiology by public health practitioners and researchers.BMC public health · 2024Article
- Navigating biosafety concerns within COVID-19 do-it-yourself (DIY) science: an ethnographic and interview study.BioSocieties · 2023Article
- Designing Equitable, Transparent Community-Engaged Disaster Research.Citizen science : theory and practice · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
"Citizen science" refers to the participation of lay individuals in scientific studies and other activities having scientific objectives. Citizen science gives rise to unique ethical issues that stem from the potentially multifaceted contributions of citizen scientists to the research process. We sought to explore the ethical issues that are most concerning to citizen scientist practitioners, participants, and scholars to support ethical practices in citizen science. We developed a best-worst scaling experiment using a balanced incomplete block design and fielded it with respondents recruited through the U.S.-based Citizen Science Association. Respondents were shown repeated subsets of 11 ethical issues and identified the most and least concerning issues in each subset. Latent class analysis revealed two respondent classes. The "Power to the People" class was most concerned about power imbalance between project leaders and participants, exploitation of participants, and lack of diverse participation. The "Show Me the Data" class was most concerned about the quality of data generated by citizen science projects and failure of projects to share data and other research outputs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.