This is a Preprint and has not been peer reviewed.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.
This Preprint has no visible version.
Download PreprintThis is a Preprint and has not been peer reviewed.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.
This Preprint has no visible version.
Download PreprintWe 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.
https://doi.org/10.32942/osf.io/ga2qz
Life Sciences, Research Methods in Life Sciences
big data, data visualization, evidence synthesis, meta-analysis, meta-research, systematic review
Published: 2018-11-10 04:05
Last Updated: 2018-11-10 04:13
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