User:Lilmisnicole/Retraction in academic publishing

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ALTERNATIVE VERSIONS OF RETRACTION

Retraction With Replacement

A low percentage of retracted papers can be due to unintentional error within the author(s) work. Rather than removing the entire article, retraction with replacement has been a new practice to help authors avoid being seen as dishonest for mistakes that were not purposefully done. This method allows the author to fix their mistakes from the original paper, and submit an edited version to take the original paper’s place. The journal can decide to retract the original paper then upload the fixed version online, usually with a notice placed stating “Retraction and Replacement,” or “Correction,” on the article page. For example, JAMA will post the edited version with a retraction and replacement notice, along with a link to the original article, while Research Evaluation will use the term "correction" with a link posted on the updated article, referring to the old article.

Self-Retraction

Self-retraction is a request from an author and/or co-authors to retract its own work from being published. Self-retraction by an author is recommended because once it gets retracted from the journal, then it can affect the author(s) because investigations can begin which will have an effect the author's reputation. If one retracts their own work on their terms, it would show more integrity and honesty as they are owning up to their own mistakes, just like the authors mentioned in The Wall Street Journal have done. Scientists at times have been asked to retract their work even though their work is exact and bold; the root cause of the problem should be looked into to avoid retractions. A system to distinguish papers from "good" and "bad" would be beneficial to researchers. This system may save the reputation of scientists and researchers. Most researchers publish honest work and sometimes simple mistakes happen to be overlooked by the peer review process. Retraction should not be for simple spelling errors, but for inaccurate, skewed, and fraudulent data. For example, today new technologies are being developed in a culture of transparency to align the opportunity to record false claims. Another solution is for researchers to use a term “self-citation” since citations look identical therefore they are classified in databases. Recommending a same database to evaluate the researchers own work can help lessen retractions.

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