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Research Weaving: Visualizing the Future of Research Synthesis

dc.contributor.authorNakagawa, Shinichi
dc.contributor.authorSamarasinghe, Gihan
dc.contributor.authorHaddaway, Neal
dc.contributor.authorWestgate, Martin
dc.contributor.authorO’Dea, Rose E.
dc.contributor.authorNoble, Daniel W. A.
dc.contributor.authorLagisz, M.
dc.date.accessioned2019-07-23T01:29:00Z
dc.date.issued2019
dc.date.updated2019-03-31T07:21:05Z
dc.description.abstractWe propose 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 documents on any given topic. Research weaving achieves this feat by combining the power of two methods: 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. Bibliometrics enables researchers to see how pieces of evidence are connected, revealing the structure and development of a field. We explain how researchers can use some or all of these tools to gain a deeper, more nuanced understanding of the scientific literature.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0169-5347en_AU
dc.identifier.urihttp://hdl.handle.net/1885/164667
dc.language.isoen_AUen_AU
dc.provenancehttp://sherpa.ac.uk/romeo/issn/0169-5347/..."author can archive post-print (ie final draft post-refereeing). 12 months embargo" from SHERPA/RoMEO site (as at 29/07/19). This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.publisherElsevieren_AU
dc.relationhttp://purl.org/au-research/grants/arc/FT130100268en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP180100818en_AU
dc.rights© 2018 Elsevier Ltden_AU
dc.rights.licenseCC-BY-NC-ND 4.0 license
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceTrends in Ecology and Evolutionen_AU
dc.titleResearch Weaving: Visualizing the Future of Research Synthesisen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue3en_AU
local.bibliographicCitation.lastpage238en_AU
local.bibliographicCitation.startpage224en_AU
local.contributor.affiliationNakagawa, Shinichi, University of New South Walesen_AU
local.contributor.affiliationSamarasinghe, Gihan, University of New South Walesen_AU
local.contributor.affiliationHaddaway, Neal, Stockholm Environment Instituteen_AU
local.contributor.affiliationWestgate, Martin, College of Science, ANUen_AU
local.contributor.affiliationO’Dea, Rose E., University of New South Walesen_AU
local.contributor.affiliationNoble, Daniel, College of Science, ANUen_AU
local.contributor.affiliationLagisz, M, University of New South Walesen_AU
local.contributor.authoruidWestgate, Martin, u4379259en_AU
local.contributor.authoruidNoble, Daniel, u5062688en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor060399 - Evolutionary Biology not elsewhere classifieden_AU
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciencesen_AU
local.identifier.ariespublicationu3102795xPUB807en_AU
local.identifier.citationvolume34en_AU
local.identifier.doi10.1016/j.tree.2018.11.007en_AU
local.identifier.scopusID2-s2.0-85058691870
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusAccepted Versionen_AU

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