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dc.contributor.authorHaddaway, Neal R.
dc.contributor.authorBannach‑Brown, Alexandra
dc.contributor.authorGrainger, Matthew
dc.contributor.authorHamilton, W. Kyle
dc.contributor.authorHennessy, Emily A.
dc.contributor.authorKeenan, Ciara
dc.contributor.authorPritchard, Chris C.
dc.contributor.authorStojanova, Jana
dc.date.accessioned2022-06-08T11:18:43Z
dc.date.available2022-06-08T11:18:43Z
dc.date.created2022-06-07T10:52:26Z
dc.date.issued2022
dc.identifier.issn2046-4053
dc.identifier.urihttps://hdl.handle.net/11250/2997886
dc.description.abstractRigorous evidence is vital in all disciplines to ensure efficient, appropriate, and fit-for-purpose decision-making with minimised risk of unintended harm. To date, however, disciplines have been slow to share evidence synthesis frameworks, best practices, and tools amongst one another. Recent progress in collaborative digital and programmatic frameworks, such as the free and Open Source software R, have significantly expanded the opportunities for development of free-to-use, incrementally improvable, community driven tools to support evidence synthesis (e.g. EviAtlas, robvis, PRISMA2020 flow diagrams and metadat). Despite this, evidence synthesis (and meta-analysis) practitioners and methodologists who make use of R remain relatively disconnected from one another. Here, we report on a new virtual conference for evidence synthesis and meta-analysis in the R programming environment (ESMARConf ) that aims to connect these communities. By designing an entirely free and online conference from scratch, we have been able to focus efforts on maximising accessibility and equity—making these core missions for our new community of practice. As a community of practice, ESMARConf builds on the success and groundwork of the broader R community and systematic review coordinating bodies (e.g. Cochrane), but fills an important niche. ESMARConf aims to maximise accessibility and equity of participants across regions, contexts, and social backgrounds, forging a level playing field in a digital, connected, and online future of evidence synthesis. We believe that everyone should have the same access to participation and involvement, and we believe ESMARConf provides a vital opportunity to push for equitability across disciplines, regions, and personal situations.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectBiomedisinen_US
dc.subjectBiomedicineen_US
dc.subjectOnline conferenceen_US
dc.subjectEquityen_US
dc.subjectPay-it-forwardsen_US
dc.subjectVolunteeren_US
dc.subjectSystematic reviewen_US
dc.subjectSynthesisen_US
dc.subjectCommunity of Practiceen_US
dc.subjectEvidence synthesis technologyen_US
dc.titleThe evidence synthesis and meta‑analysis in R conference (ESMARConf): levelling the playing field of conference accessibility and equitabilityen_US
dc.title.alternativeThe evidence synthesis and meta‑analysis in R conference (ESMARConf): levelling the playing field of conference accessibility and equitabilityen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s)en_US
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400en_US
dc.subject.nsiVDP::Mathematics and natural scienses: 400en_US
dc.source.volume11en_US
dc.source.journalSystematic Reviewsen_US
dc.identifier.doi10.1186/s13643-022-01985-6
dc.identifier.cristin2029788
dc.source.articlenumber113en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal