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The San Francisco Declaration on Research Assessment (DORA) is a statement that denounces the practice of correlating the journal impact factor to the merits of a specific scientist's contributions. Also according to this statement, this practice creates biases and inaccuracies when appraising scientific research .
Data ethics is of increasing relevance as the quantity of data increases because of the scale of the impact. Big data ethics are different from information ethics because the focus of information ethics is more concerned with issues of intellectual property and concerns relating to librarians, archivists, and information professionals, while ...
If a journal is accused of managing COIs badly, its reputation is harmed. [28] The impact factor of a journal is often used to rate it, although this practice is widely criticized. A journal will generally want to increase its impact factor in hope of gaining more subscriptions, better submissions, and more prestige. [25]
To quantitatively assess the output of a publishing company, in 2014 a research group associated with the University of Granada created a methodology based on the Thomson-Reuters Book Citation Index. [16] The quantitative weight of the publishers is based on output data, impact (citations) and publisher profile.
The impact factor relates to a specific time period; it is possible to calculate it for any desired period. For example, the JCR also includes a five-year impact factor, which is calculated by dividing the number of citations to the journal in a given year by the number of articles published in that journal in the previous five years. [14] [15]
Journal ranking is widely used in academic circles in the evaluation of an academic journal's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it.
Scientific misconduct - Wikipedia
Higher SJR indicator values are meant to indicate greater journal prestige. SJR is developed by the Scimago Lab, [5] originated from a research group at the University of Granada. The SJR indicator is a variant of the eigenvector centrality measure used in network theory. Such measures establish the importance of a node in a network based on ...