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Free, open-source database management tool for personal and professional use.

The gold standard for systematic reviews and evidence synthesis in agricultural and environmental research.

CADIMA is a specialized web-based platform engineered by the Julius Kühn-Institut (JKI) to support the rigorous process of systematic reviews and systematic maps, specifically optimized for agricultural and environmental sciences. Its technical architecture is built to facilitate the 'Evidence-Based Practice' paradigm, ensuring that research synthesis is transparent, reproducible, and minimizes bias. By 2026, CADIMA has solidified its position as the primary open-access alternative to proprietary synthesis tools like Covidence, specifically catering to researchers following the Collaboration for Environmental Evidence (CEE) guidelines. The platform manages the entire lifecycle of a systematic review, from protocol registration and reference management to multi-user screening workflows and structured data extraction. Its core value proposition lies in its ability to synchronize distributed research teams, providing a centralized repository for decisions and rationales during the literature selection phase. For AI Solutions Architects and Research Data Managers, CADIMA offers a stable, non-commercial environment that complies with international metadata standards, ensuring that synthesized outputs are ready for meta-analytical processing and long-term archival.
CADIMA is a specialized web-based platform engineered by the Julius Kühn-Institut (JKI) to support the rigorous process of systematic reviews and systematic maps, specifically optimized for agricultural and environmental sciences.
Explore all tools that specialize in literature screening. This domain focus ensures CADIMA delivers optimized results for this specific requirement.
Allows multiple independent reviewers to screen the same references simultaneously with built-in conflict resolution modules.
Uses string-matching algorithms across title, author, and year metadata to identify duplicate bibliographic entries from multiple database sources.
A drag-and-drop builder for creating structured data entry forms that reviewers use to extract quantitative and qualitative data.
Maintains a permanent, timestamped record of the review protocol to ensure transparency in post-hoc criteria changes.
Interface and metadata handling optimized for non-English literature, which is frequent in agricultural research.
Captures the rationale for every excluded paper at the full-text stage, generating a flow diagram automatically.
Integrated toolsets for evaluating study quality based on user-defined or standard risk-of-bias parameters.
Create a user account on the CADIMA official portal.
Initiate a new project and select between 'Systematic Review' or 'Systematic Map'.
Upload the research protocol defining inclusion and exclusion criteria.
Import bibliographic references from external databases via RIS or BibTeX files.
Run the automated deduplication tool to clean the reference library.
Assign specific reviewers to Title/Abstract screening tasks.
Execute full-text screening for references that passed the initial phase.
Define a customized data extraction form tailored to the research question.
Perform critical appraisal to assess the risk of bias in selected studies.
Export the finalized dataset for statistical meta-analysis.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its specialized focus on environmental research and its free-to-use model, though the interface is often described as utilitarian and less modern than commercial rivals."
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