Detecting errors that result in retractions
Bibliographic Data
| ID | 11924976 |
|---|---|
| Authors | Line Edslev Andersen (0000-0003-2909-4306, Aarhus University, corresponding author), K Brad Wray (0000-0001-8688-3390, Aarhus University) |
| Year | 2019 |
| Volume | 49 |
| Issue | 6 |
| Pages | 942-954 |
| Publication date | 2019-09-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Studies of Science (JOURNAL) |
| Journal identifiers | ISSN: 0306-3127 • E-ISSN: 1460-3659 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0306312719872008 |
| PMID | 31512978 |
| OpenAlex | W2972720791 |
| Language | EN |
| Citations received | 4 |
| References cited | 14 |
We present a taxonomy of errors in the scientific literature and an account of how the errors are distributed over the categories. We have developed the taxonomy by studying substantial errors in the scientific literature as described in retraction notices published in the journal Science over the past 35 years. We then examine how the sorts of errors that lead to retracted papers can be prevented and detected, considering the perspective of collaborating scientists, journal editors and referees, and readers of the published articles
Biology · Data science · Epistemology · Perspective (graphical · Taxonomy (biology · Academic integrity and plagiarism · Artificial Intelligence in Healthcare and Education · Computer Science · Philosophy · Artificial Intelligence · Ecology
| Citations per year | 0.57 |
|---|---|
| Citation span | 2019 - 2024 (6) |
| Highly cited | No |