diff --git a/resources.html b/resources.html
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--- a/resources.html
+++ b/resources.html
@@ -32,7 +32,7 @@
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${suggestion.title}
Introduction
The Protocol
-
Formulating questions
+
Formulating questions
Literature search
Corpus management
Article screening
diff --git a/search.json b/search.json
index 8ab0eec..7b5435d 100644
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+++ b/search.json
@@ -48,14 +48,14 @@
],
"date": "`r format(Sys.Date(), '%m-%d-%Y')`",
"contents": "\n\n \nPre-registration opens each spring and training course is provided each fall. Subscribe to the FRB-CESAB newsletter to stay informed. More information is available on the FRB-CESAB website.\n\n\nThe objective of this five-day training course, co-organized by the\nFRB-CESAB, the\nUMS PatriNat and the Cirad HortSys\nis to train young researchers on the methods and techniques of meta-analyses\nand systematic reviews/maps applied to the field of biodiversity.\nN.B. This training course is in French, but slides are available in English in the tab Courses/.\n\nProgram\n\nMonday\n\n\nIcebreaker & Introduction to the week\n\n\nIntroduction to meta-analyses\n\n\n\nInvolving stakeholders & Formulating questions\n\n\n\nThe Protocol\n\n\n\nBibliographic databases & Search equations\n\n\n\nConstitution of the corpus\n\n\n\nArticle screening: Systematic methods & Eligibility criteria\n\n\n\nFull-text retrieval\n\n\n\nTuesday\n\n\nIntroduction to automated screening techniques\n\n\n\nAI-assisted screening\n\n\n\nReporting\n\n\n\nSystematic maps: Metadata extraction\n\n\n\nQualitative metadata extraction: Machine learning approach\n\n\n\nData visualization\n\n\n\nCritical appraisal: understanding its importance\n\n\n\nWednesday\n\n\nMeta-analyses: quantitative approaches\n\n\n\nQuantitative data extraction: what tools are available?\n\n\n\nRisk of bias and interpretation of meta-analysis results\n\n\n\nGoing beyond global mean effect size\n\n\n\nThursday - Friday\n\n\nSubgroups projects\n\n\nPrerequisites\nPlease follow this tutorial to install your working environment before attending the training course. Note: for this course only R and RStudio Desktop are required.\n\nSee also\nDiscover the other training courses provided by the FRB-CESAB and its partners: https://frbcesab.github.io/content/courses.html\nCitation\nLangridge J, Beillouin D, Bonfanti J, Campagne CS, Casajus N, Gosselin F, Ouédraogo D-Y, Petit C, Sordello R & Veytia D (2024) FRB-CESAB, UMS PatriNat & Cirad HortSys training course: Introduction to meta-analyses and systematic reviews.\n\n\n\n",
- "last_modified": "2024-10-02T13:31:19+00:00"
+ "last_modified": "2024-10-07T10:06:53+02:00"
},
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"path": "resources.html",
"title": "Resources",
"author": [],
"contents": "\n\nPlanning & Question formulation\nFoo YZ, O’Dea RE, Koricheva J, Nakagawa S & Lagisz M (2021) A practical guide to question formation, systematic searching and study screening for literature reviews in ecology and evolution. Methods in Ecology and Evolution, doi: https://doi.org/10.1111/2041-210X.13654.\nHaddaway NR & Westgate MJ (2018) Predicting the time needed for environmental systematic reviews and systematic maps. Conservation Biology, doi: https://doi.org/10.1111/cobi.13231.\nHaddaway NR, Bethel A, Dicks LV, Koricheva J, Macura B, Petrokofsky G, Pullin AS, Savilaakso S & Stewart GB (2020) Eight problems with literature reviews and how to fix them. Nature Ecology & Evolution, doi: https://doi.org/10.1038/s41559-020-01295-x.\nLivoreil B, Glanville J, Haddaway NR, Bayliss H, Bethel A, Flamerie de Lachapelle F, Robalino S, Savilaakso S, Zhou W, Petrokofsky G & Frampton G (2017) Systematic searching for environmental evidence using multiple tools and sources. Environmental Evidence, doi: https://doi.org/10.1186/s13750-017-0099-6.\nNavarro C, Berrebi B, Livoreil B, Richard G & Soubelet H (2020) Méthodes d’expertise : comment les utiliser ? Expertise et synthèse. Paris, France : FRB, 104p. URL: https://www.fondationbiodiversite.fr/guide-des-methodes-dexpertise/.\n\nDatabases & Search engines\nHaddaway NR, Collins AM, Coughlin D & Kirk S (2015) The role of Google Scholar in evidence reviews and its applicability to grey literature searching. PLOS One, doi: https://doi.org/10.1371/journal.pone.0138237.\n\nSystematic mapping\nHaddaway NR, Bernes C, Jonsson B-G & Hedlund K (2016) The Benefits of systematic mapping to evidence-based environmental management. Ambio, doi: https://doi.org/10.1007/s13280-016-0773-x.\nJames KL, Randall NP & Haddaway NR (2016) A methodology for systematic mapping in environmental sciences. Environmental Evidence, doi: https://doi.org/10.1186/s13750-016-0059-6.\n\nCritical analysis & Systematic reviewing\nSordello R, Bertheau Y, Coulon A, Jeusset A, Ouédraogo DY, Vanpeene S, Vargac M, Villemey A, Witté I, Reyjol Y & Touroult J (2019) Les protocoles expérimentaux en écologie : principaux points clefs. UMS PatrNat, CESCO, Irstea. 32p. URL: https://www.patrinat.fr/fr/actualites/publication-dun-rapport-de-lums-sur-les-protocoles-experimentaux-6445.\nCEE Critical Appraisal Tool: https://environmentalevidence.org/cee-critical-appraisal-tool/\n\nMeta-analyses\nBorenstein M, Hedges LV, Higgins JPT & Rothstein HR (2009) Introduction to meta-analysis. doi: https://doi.org/10.1002/9780470743386.\nKoricheva J, Gurevitch J & Mengersen K (2013) Handbook of meta-analysis in ecology and evolution. Princeton University Press, 592p. URL:\nhttps://www.jstor.org/stable/j.ctt24hq6n\nNakagawa, S, Yang, Y, Macartney, EL et al. (2023) Quantitative evidence synthesis: A practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences. Environmental Evidence, doi: https://doi.org/10.1186/s13750-023-00301-6.\n\nR Packages\nLajeunesse MJ (2016) Facilitating systematic reviews, data extraction and meta-analysis with the metagear package for R. Methods in Ecology & Evolution, doi: https://doi.org/10.1111/2041-210X.12472.\nViechtbauer W (2010) Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, doi: https://doi.org/10.18637/jss.v036.i03.\nWestgate MJ (2019) revtools: An R package to support article screening for evidence synthesis. Research Synthesis Methods, doi: http://doi.org/10.1002/jrsm.1374.\nPick JL, Nakagawa S & Noble DWA (2019) Reproducible, flexible and high-throughput data extraction from primary literature: The metaDigitise R package. Methods in Ecology & Evolution, doi: https://doi.org/10.1111/2041-210X.13118.\nGrames EM, Stillman AN, Tingley MW & Elphick CS (2019) An automated approach to identifying search terms for systematic reviews using keyword co-occurrence networks. Methods in Ecology & Evolution, doi: https://doi.org/10.1111/2041-210X.13268.\n\nWebsites\nhttps://www.metafor-project.org/doku.php/metafor\nhttps://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/\n\nA must read\nPullin AS, Cheng SH, Jackson JD, Eales J, Envall I, Fada SJ, Frampton GK, Harper M, Kadykalo AN, Kohl C, Konno K, Livoreil B, Ouédraogo D-Y, O’Leary BC, Pullin G, Randall N, Rees R, Smith A, Sordello R, Sterling EJ, Twardek WM, Woodcock P (2022) Standards of conduct and reporting in evidence syntheses that could inform environmental policy and management decisions. Environmental Evidence, doi: https://doi.org/10.1186/s13750-022-00269-9.\n\n\n\n",
- "last_modified": "2024-10-02T13:31:20+00:00"
+ "last_modified": "2024-10-07T10:06:54+02:00"
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],
"collections": []
diff --git a/sitemap.xml b/sitemap.xml
index bed6ab0..ab65971 100755
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -2,10 +2,10 @@
https://literaturesynthesis.github.io/
- 2024-10-02T13:30:17+00:00
+ 2024-09-18T09:56:16+02:00
https://literaturesynthesis.github.io/resources.html
- 2024-10-02T13:30:17+00:00
+ 2024-10-02T15:28:45+02:00