The Experimental Design Assistant
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Addressing the common problems that researchers encounter when designing and analysing animal experiments will improve the reliability of in vivo research. In this article, the Experimental Design Assistant (EDA) is introduced. The EDA is a web-based tool that guides the in vivo researcher through the experimental design and analysis process, providing automated feedback on the proposed design and generating a graphical summary that aids communication with colleagues, funders, regulatory authorities, and the wider scientific community. It will have an important role in addressing causes of irreproducibility.
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The Experimental Design Assistant (EDA) is a platform to support researchers in the design of in vivo experiments; it can be used to generate diagrams to represent any type of experimental design.
“The Experimental Design Assistant (EDA) is a platform to support researchers in the design of in vivo experiments; it can be used to generate diagrams to represent any type of experimental design [19].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [19]
The Introduction describes the EDA as a web-based tool that guides researchers in designing animal experiments and produces diagrams of their plans. The section on standard notation describes diagrams for different designs, but our copy does not establish the broader claim that it can represent any type of experimental design. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe EDA can be used to generate a time-stamped PDF, which sets out key elements of the experimental design.
“The EDA can also be used to generate a time-stamped PDF, which sets out key elements of the experimental design [19].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [19]
The Introduction section on improving the reliability of experimental results and analysis (Fig. 1 workflow; page not available in our copy) says users can export a PDF report containing the EDA diagram and information about the experiment’s internal validity. It does not say the PDF is time-stamped. (LLM, conf=0.87)
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- Authors
- Percie du Sert, N., Bamsey, I., Bate, S. T., Berdoy, M., Clark, R. A., Cuthill, I., Fry, D., Karp, N. A., Macleod, M., Moon, L., Stanford, S. C., & Lings, B.
- Affiliations
- Certus Technology (United Kingdom) (GB)
- GlaxoSmithKline (United Kingdom) (GB)
- University of Oxford (GB)
- Envigo (United Kingdom) (GB)
- University of Bristol (GB)
- University of Manchester (GB)
- AstraZeneca (United Kingdom) (GB)
- University of Edinburgh (GB)
- King's College London (GB)
- University College London (GB)
- ORCID
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-09-28
- Volume
- 15
- Issue
- 9
- Pages
- e2003779
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- PMC
- PMC5634641
- OpenAlex
- W2758193291
- Semantic Scholar
- 768dab5ed1a7146ab0c942b3e72044116f61a36a
- Cited by
- 118
- References
- 24
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 15 · 2023: 11 · 2022: 15 · 2021: 11 · 2020: 25 · 2019: 18 · 2018: 7 · 2017: 1
- FWCI
- 25.31
- Type
- journal article
- Language
- en
- Update notices
- new_version (2017-10-10)
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion, other-oa)
- Bristol Research (University of Bristol) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- Research Explorer (The University of Manchester) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC/L000970/1)
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- animal experimentation, experimental design, statistical analysis, web application, reproducibility, in vivo research, research reliability, graphical summaries
- MeSH terms
- Feedback, Research Design, Software, Internet
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