Imagine following a recipe but getting a different cake every time; that is what happens when science isn't reproducible. This work creates a guidebook and a set of tools to make sure experiments give the same result no matter who does them. It helps researchers spot mistakes early and use the best methods to get trustworthy data.
Companies waste millions on R&D based on scientific results that cannot be replicated, leading to failed product launches and wasted resources.
The iRISE-SOLES online tool for systematic reproducibility assessment and an open knowledge base of evidence-based interventions.
If you are a drug discovery firm dealing with failed clinical trials due to inconsistent lab results — this project developed a roadmap for interventions that increases the reliability of scientific evidence. This reduces the risk of investing in flawed research.
If you are an AI model developer dealing with 'black box' results that cannot be replicated by other teams — this project developed a general system for diagnosing reproducibility problems using computational modelling. This ensures your AI benchmarks are honest and stable.
If you are a certification body dealing with inconsistent auditing standards for research quality — this project developed a knowledge base to identify and implement effective solutions for reproducibility. This allows for more rigorous quality checks.
Based on available project data, no specific pricing or cost for the tools is mentioned, though the project is performing cost-benefit analyses of interventions.
The project includes 17 partners and aims for economic gains in Europe and beyond, suggesting a design intended for broad application across research and industry.
Based on available project data, the project commits to open and reproducible practices, but specific licensing terms for the iRISE-SOLES tool are not detailed.
It provides a roadmap and a knowledge base to help users identify, test, and implement feasible solutions within their current practices.
The project period runs from 2023-09-01 to 2026-08-31.
The consortium is heavily academic, with 14 universities and 2 research organizations, but it maintains a strategic link to the market through 1 industry partner (an SME). This 6% industry ratio indicates the project is primarily driven by scientific rigor, though the inclusion of experts in economics and project management suggests a focus on practical, cost-effective application.
Contact the research office at Charité - Universitätsmedizin Berlin
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