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• W2567752013 abstract "<ns4:p>The US FDA defines modified risk tobacco products (MRTPs) as products that aim to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products. Establishing a product’s potential as an MRTP requires scientific substantiation including toxicity studies and measures of disease risk relative to those of cigarette smoking. Best practices encourage verification of the data from such studies through sharing and open standards. Building on the experience gained from the OpenTox project, a proof-of-concept database and website (<ns4:ext-link xmlns:ns3=http://www.w3.org/1999/xlink ext-link-type=uri ns3:href=http://intervals.science/>INTERVALS</ns4:ext-link>) has been developed to share results from both <ns4:italic>in vivo</ns4:italic> inhalation studies and <ns4:italic>in vitro</ns4:italic> studies conducted by Philip Morris International R&D to assess candidate MRTPs. As datasets are often generated by diverse methods and standards, they need to be traceable, curated, and the methods used well described so that knowledge can be gained using data science principles and tools. The data-management framework described here accounts for the latest standards of data sharing and research reproducibility. Curated data and methods descriptions have been prepared in ISA-Tab format and stored in a database accessible via a search portal on the INTERVALS website. The portal allows users to browse the data by study or mechanism (e.g., inflammation, oxidative stress) and obtain information relevant to study design, methods, and the most important results. Given the successful development of the initial infrastructure, the goal is to grow this initiative and establish a public repository for 21<ns4:sup>st</ns4:sup>-century preclinical systems toxicology MRTP assessment data and results that supports open data principles.</ns4:p>" @default.
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• W2567752013 date "2017-09-05" @default.
• W2567752013 modified "2023-10-18" @default.
• W2567752013 title "Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure" @default.
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• W2567752013 doi "https://doi.org/10.12688/f1000research.10493.2" @default.
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