Research Weaving: Visualizing the Future of Research Synthesis

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.tree.2018.11.007. This is version 2 of this Preprint.

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Authors

Shinichi Nakagawa, Gihan Samarasinghe, Neal Robert Haddaway, Martin J. Westgate, Rose E O'Dea, Daniel W.A. Noble, Malgorzata Lagisz

Abstract

We propose, and formalize, a new framework for research synthesis of both evidence and influence, named ‘research weaving’. It summarizes and visualizes information content, history, and networks among a collection of diverse publication types on any given topic. Research weaving achieves this feat by combining the power of two methodologies: systematic mapping and bibliometrics. Systematic mapping provides a snapshot of the current state of knowledge, identifying areas needing more research attention and those ready for full synthesis (e.g., using meta-analysis). Bibliometrics enables researchers to see how pieces of evidence are connected, revealing the structure and the evolution of a field. We explain how to become a ‘research weaver’, and discuss how research weaving may change the landscape of research synthesis.

DOI

https://doi.org/10.32942/osf.io/ga2qz

Subjects

Life Sciences, Research Methods in Life Sciences

Keywords

big data, data visualization, evidence synthesis, meta-analysis, meta-research, systematic review

Dates

Published: 2018-11-09 19:05

Last Updated: 2018-11-09 19:13

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License

CC-By Attribution-ShareAlike 4.0 International