Considerations for higher efficiency and productivity in research activities. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Forero, Diego; Moore, Jason
• Is Part Of: Biodata mining. Volume 9:Issue 1(2016)
• Page Start: 1
• Page End: 4
• Publication Date: 2016-12
• Subjects: Scientometrics -- Biomedical research -- Bibliometrics -- Global science -- Scientific productivity -- Academic mentoring; Bioinformatics -- Periodicals; Computational biology -- Periodicals; Data mining -- Periodicals; 570.285
• DOI: 10.1186/s13040-016-0115-3
• Languages: English
• ISSNs: 1756-0381

Abstract

Abstract There are several factors that are known to affect research productivity; some of them imply the need for large financial investments and others are related to work styles. There are some articles that provide suggestions for early career scientists (PhD students and postdocs) but few publications are oriented to professors about scientific leadership. As academic mentoring might be useful at all levels of experience, in this note we suggest several key considerations for higher efficiency and productivity in academic and research activities. More research is needed into the main work style features that differentiate highly productive scientists and research groups, as some of them could be innate and others could be transferable. As funding agencies, universities and research centers invest large amounts of money in order to have a better scientific productivity, a deeper understanding of these factors will be of high academic and societal impact.