Evidence map›Paper›PMID 35845834›Full record

ArticlePatterns (New York, N.Y.)2022

Data Ethics Club: Creating a collaborative space to discuss data ethics.

Nina H Di Cara, Natalie Zelenka, Huw Day, Euan D S Bennet, Vanessa Hanschke, Valerio Maggio, Ola Michalec, Charles Radclyffe, Roman Shkunov, Emma Tonkin and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Patterns (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Nina H Di CaraMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Natalie ZelenkaJean Golding Institute for Data Intensive Research, University of Bristol, Bristol BS8 1UH, UK.
Huw DaySchool of Mathematics, University of Bristol, Bristol BS8 1UG, UK.
Euan D S BennetBristol Veterinary School, University of Bristol, Bristol BS40 5DU, UK.
Vanessa HanschkeDepartment of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Valerio MaggioMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Ola MichalecDepartment of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Charles RadclyffeDepartment of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Roman ShkunovDepartment of Computer Science, University of Bristol, Bristol BS8 1UB, UK.
Emma TonkinDigital Health, University of Bristol, Bristol BS8 1UB, UK.
Zoë TurnerNottinghamshire Healthcare NHS Foundation Trust, Nottingham NG3 6AA, UK.
Kamilla WellsAustralian Public Service, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Awareness and management of ethical issues in data science are becoming crucial skills for data scientists. Discussion of contemporary issues in collaborative and interdisciplinary spaces is an engaging way to allow data-science work to be influenced by those with expertise in sociological fields and so improve the ability of data scientists to think critically about the ethics of their work. However, opportunities to do so are limited. Data Ethics Club is a fortnightly discussion group about data science and ethics whose community-generated resources are hosted publicly online. These include a collaborative list of materials around topics of interest and guides for leading an online data-ethics discussion group. Our meetings and resources are designed to reduce the barriers to learning, reflection, and critique on data science and ethics, with the broader aim of building ethics into the cultural fabric of quality data-science work.

Indexed as

data ethicsinterdisciplinaryjournal clubopen scienceopen sourceresponsible innovation

Identifiers

PMID35845834
PMCPMC9278501

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.