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Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry

by on Apr 30, 2009

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There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle ...

There is an increasing availability of free and open access resources for scientists to use on the internet. Coupled with the increasing availability of Open Source software tools we are in the middle of a revolution in data availability and tools to manipulate these data. However, freedom costs and in many cases the cost is quality. ChemSpider is a free access website for chemists built with the intention of providing a structure centric community for chemists. As an aggregator of chemistry related information from many sources, at present over 21.5 million unique chemical entities from over 150 separate data sources, ChemSpider has taken on the task of both robotically and manually curating publicly available data sources. This presentation will provide an overview of the issue of quality in many chemistry-related databases, approaches to cleaning up the data and how a curated platform can become the centralized hub for resourcing information about chemical entities. This includes experimental and predicted properties, analytical data, publications, suppliers and integrated databases. I will detail three efforts :1) the curation of chemistry on Wikipedia 2) an examination of structure integrity on the FDA Daily Med website, a web site of medication content and labeling as found in medication package inserts 3) recognizing chemical names in documents and providing a platform for structure-based searching of Open Access chemistry literature.

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Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry Crowdsourcing, Collaborations and Text-Mining in a World of Open Chemistry Presentation Transcript