Agricultural-Evidence-Synthesis-Hub: v1.0.0

The Agricultural Evidence Synthesis Hub provides an open, reproducible workflow for systematic reviews and meta-analyses in agriculture. It standardizes search, screening, data extraction, and analysis steps across teams, combining documented methods, harmonized schemas, and optional AI tools to mak...

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Main Authors: Muller, Lolita, Jones, Sarah, Estrada Carmona, Natalia, Beillouin, Damien, Rosenstock, Todd, Sanchez Bogado, Andrea Cecilia
Format: Software
Language:Inglés
Published: 2025
Subjects:
Online Access:https://hdl.handle.net/10568/178328
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author Muller, Lolita
Jones, Sarah
Estrada Carmona, Natalia
Beillouin, Damien
Rosenstock, Todd
Sanchez Bogado, Andrea Cecilia
author_browse Beillouin, Damien
Estrada Carmona, Natalia
Jones, Sarah
Muller, Lolita
Rosenstock, Todd
Sanchez Bogado, Andrea Cecilia
author_facet Muller, Lolita
Jones, Sarah
Estrada Carmona, Natalia
Beillouin, Damien
Rosenstock, Todd
Sanchez Bogado, Andrea Cecilia
author_sort Muller, Lolita
collection Repository of Agricultural Research Outputs (CGSpace)
description The Agricultural Evidence Synthesis Hub provides an open, reproducible workflow for systematic reviews and meta-analyses in agriculture. It standardizes search, screening, data extraction, and analysis steps across teams, combining documented methods, harmonized schemas, and optional AI tools to make evidence syntheses more efficient, comparable, and policy-relevant.
format Software
id CGSpace178328
institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
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spelling CGSpace1783282025-11-27T10:45:27Z Agricultural-Evidence-Synthesis-Hub: v1.0.0 Muller, Lolita Jones, Sarah Estrada Carmona, Natalia Beillouin, Damien Rosenstock, Todd Sanchez Bogado, Andrea Cecilia methodology metodología meta-analysis metaanálisis The Agricultural Evidence Synthesis Hub provides an open, reproducible workflow for systematic reviews and meta-analyses in agriculture. It standardizes search, screening, data extraction, and analysis steps across teams, combining documented methods, harmonized schemas, and optional AI tools to make evidence syntheses more efficient, comparable, and policy-relevant. 2025-10-14 2025-11-27T10:45:26Z 2025-11-27T10:45:26Z Software https://hdl.handle.net/10568/178328 en Open Access Muller, L.; Jones, S.; Estrada Carmona, N.; Beillouin, D.; Rosenstock, T.; Sanchez Bogado, A.C. (2025) Agricultural-Evidence-Synthesis-Hub: v1.0.0. [Software] Zenodo. Published online 14 October 2025.
spellingShingle methodology
metodología
meta-analysis
metaanálisis
Muller, Lolita
Jones, Sarah
Estrada Carmona, Natalia
Beillouin, Damien
Rosenstock, Todd
Sanchez Bogado, Andrea Cecilia
Agricultural-Evidence-Synthesis-Hub: v1.0.0
title Agricultural-Evidence-Synthesis-Hub: v1.0.0
title_full Agricultural-Evidence-Synthesis-Hub: v1.0.0
title_fullStr Agricultural-Evidence-Synthesis-Hub: v1.0.0
title_full_unstemmed Agricultural-Evidence-Synthesis-Hub: v1.0.0
title_short Agricultural-Evidence-Synthesis-Hub: v1.0.0
title_sort agricultural evidence synthesis hub v1 0 0
topic methodology
metodología
meta-analysis
metaanálisis
url https://hdl.handle.net/10568/178328
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