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So you want to be a Super Researcher

View ORCID ProfileSanjay Rathee, Sheah Lin Lee
doi: https://doi.org/10.1101/2021.02.18.431804
Sanjay Rathee
1Department of Oncology, University of Oxford, Oxford, United Kingdom, OX37DQ. E-mail:
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  • For correspondence: sanjaysinghrathi@gmail.com sanjaysinghrathi@gmail.com
Sheah Lin Lee
2Cancer Sciences Unit, Faculty of Medicine, University of Southampton. E-mail:
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  • For correspondence: s.l.lee@soton.ac.uk
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Abstract

Publishing original scientific research is inherent to the work of a researcher. However, the pressure to maintain productivity and scientific impact can lead to research group publishing excessively, negatively affecting the mental health of a researcher. Ph.D. students and early career researchers are particularly susceptible to this pressure due to the inherent vulnerability of their positions. At present, there are no resources that concisely summarise the publication culture of a research group to help the researcher make an informed decision before joining. In this article, we present the ‘Super Researcher’ app, an R Shiny application(app) with a user-friendly interface. Using text-mining methodology to extract publicly available author data from Scopus, this pilot app has four fundamental functions to provide snapshot information that will help researchers grasp the publication culture of a research group within minutes. The ‘Super Researcher’ app provides information on: 1) institution data, 2) author’s publication, 3) co-author network plots and 4) publication journals.

The ‘Super Researcher’ app is built on R shiny which provides an interactive interface to users. This app utilizes the Big Data framework Apache Spark to mine relevant information from a huge author information database. The author’s information is stored and manipulated using both SQL(SQLite) and NoSQL(HBase) databases. Hbase is used for local data storage and manipulation while SQLite feeds data to the R Shiny interface.

In this paper, we introduce these functionalities and illustrate how this information can help guide a researcher to select a new Principle Investigator (PI) with better compatibility in terms of publication attitude using a case study. Available: https://researchmind.co.uk/super-researcher/

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 18, 2021.
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So you want to be a Super Researcher
Sanjay Rathee, Sheah Lin Lee
bioRxiv 2021.02.18.431804; doi: https://doi.org/10.1101/2021.02.18.431804
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So you want to be a Super Researcher
Sanjay Rathee, Sheah Lin Lee
bioRxiv 2021.02.18.431804; doi: https://doi.org/10.1101/2021.02.18.431804

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