Evidence map›Paper›PMID 20535642›Full record

ArticleScience and engineering ethics2011

The university and the responsible conduct of research: who is responsible for what?

Katherine Alfredo, Hillary Hart

Abstract readHistorical Article
PubMed Publisher
In one paragraph

Article in Science and engineering ethics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

9 citing papers in PubMed, 42 citations in OpenAlex.

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  9. The university and the responsible conduct of research.Science and engineering ethics · 2011
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Katherine AlfredoDepartment of Civil, Architectural and Environmental Engineering, The University of Texas, Austin, TX, USA. kalfredo@mail.utexas.edu
Hillary Hart
The University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research misconduct has been thoroughly discussed in the literature, but mainly in terms of definitions and prescriptions for proper conduct. Even when case studies are cited, they are generally used as a repository of "lessons learned." What has been lacking from this conversation is how the lessons of responsible conduct of research are imparted in the first place to graduate students, especially those in technical fields such as engineering. Nor has there been much conversation about who is responsible for what in training students in Responsible Conduct of Research or in allocating blame in cases of misconduct. This paper explores three seemingly disparate cases of misconduct-the 2004 plagiarism scandal at Ohio University; the famous Robert Millikan article of 1913, in which his reported data selection did not match his notebooks; and the 1990 fabrication scandal in Dr. Leroy Hood's research lab. Comparing these cases provides a way to look at the relationship between the graduate student (or trainee) and his/her advisor (a relationship that has been shown to be the most influential one for the student) as well as at possibly differential treatment for established researchers and researchers-in-training, in cases of misconduct. This paper reflects on the rights and responsibilities of research advisers and their students and offers suggestions for clarifying both those responsibilities and the particularly murky areas of research-conduct guidelines.

Indexed as

Social ResponsibilityEducation, GraduateEthics, ResearchHistory, 20th CenturyPlagiarismResearchScienceScientific MisconductUniversities

Identifiers

PMID20535642
OpenAlexW2117959244

What OpenQuestion holds

Textmetadata
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.