Directions for Developing the Efficiency of Scientific Research

Authors

  • Ionela Maria Bârsan Transilvania Transilvania of Brasov

DOI:

https://doi.org/10.26660/rrbsi.2019.15.34.96

Keywords:

scientific research, academic staff, scientific communication, information technologies, research data

Abstract

The article surprises elements of novelty and needs in the activity of scientific research and communication, identifies the needs and their practical settlement. We identified the needs and behavior of the academic staff involved in research and we analyzed trends in contemporary research. The universities have the opportunity to improve their services for research support in today’s information society using new technologies and different avenue for this move into the future. The effect of libraries using the same, shared hardware, services and data, enhances the both library user’s experience and library staff workflows.
Connected data, collaboration, digitization and cloud computing will strongly increase the role of library support for academic research.

References

Abel, R., Brown, M. and Suess, J.J. (2013) A New Architecture for Learning, EDUCAUSEreview [online], September/October pp. 88-102, available: http://bit.ly/rrbsi342019b [accessed 27 June 2017].

Allison, D.A.K. (2013) The patron-driven library: a practical guide for managing collections and services in the digital age, Cambridge: Chandos Publishing.

Apple (2018) ResearchKit and CareKit [online], available: https://www.apple.com/lae/researchkit/ [accessed 27 June 2018].

Auckland, M. (2012) Re-skilling for Research [online], available: http://bit.ly/rrbsi342019c [accessed 27 June 2017].

Bhattacharjee, N. and Das Purkayastha, S. (2013) Cloud computing and its applications in libraries, e-Library Science Research Journal, 7(1) pp. 1-6, available: http://hdl.handle.net/10760/22929.

Borgman, C.L. (2007) Scholarship in the Digital Age: Information, Infrastructure, and the Internet. Cambridge: The MIT Press., Massachusetts.

De Mauro, A., Greece, M. and Grimaldi, M. (2016) A formal definition of Big Data based on its essential features, Library Review, 65(3) pp. 122-135, available: https://doi.org/10.1108/LR-06-2015-0061.

Goldner, M. (2010) Winds of Change: Libraries and Cloud Computing [online], available: http://bit.ly/rrbsi342019d [accessed 27 June 2017].

Instrumental, Inc. (2013) Report on Digital Preservation and Cloud Services [online], available: http://bit.ly/rrbsi342019e [accessed 27 June 2017].

Michigan State University (2018) Data Analysis: Research Methods Literature [online], available: https://libguides.lib.msu.edu/c.php?g=96626&p=626741 [accessed 27 June 2018].

National Academy of Sciences, National Academy of Engineering, and Institute of Medicine (2005) Facilitating Interdisciplinary Research. Washington, DC: The National Academies Press, available: https://doi.org/10.17226/11153.

OCLC (2012) Linked Data for Libraries [online], available: http://bit.ly/rrbsi342019f [accessed June 27, 2017].

Sowa, J. (2017) Transforming the role of academic libraries in multidisciplinary research [online], available: http://bit.ly/rrbsi342019h [accessed 27 June 2017].

University of Guelph (2018) Maps, GIS, & Data: Data Analysis [online], available: http://bit.ly/rrbsi342019g [accessed 27 June 2018].

University of Toronto Libraries (2018) Map and Data Library [online], available: https://mdl.library.utoronto.ca [accessed 27 June 2018].

Yan Quan, L. and Briggs, S. (2015) A Library in the Palm of Your Hand: Mobile Services at Top 100 University Libraries, Information Technology & Libraries, 34 (2) pp. 133-148, available: https://doi.org/10.6017/ital.v34i2.5650.

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Published

2019-12-01

How to Cite

Bârsan, I. M. (2019). Directions for Developing the Efficiency of Scientific Research. Revista Română De Biblioteconomie și Știința Informării = Romanian Journal of Library and Information Science, 15(3-4), 96–100. https://doi.org/10.26660/rrbsi.2019.15.34.96

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Section

Review articles

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