Sessions at OpenTech 2010 about Science
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Science
Saturday 11th September 2010
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2A: Open Data in Clinical Trials
by Louise Crow and Ben Goldacre
Pharmaceutical companies running clinical trials are increasingly being required to register them in one or more databases. Once the trials are finished, the results ought to be published in medical journals, but there is little incentive to publish negative data, for example from trials that were terminated early due to poor drug performance or dangerous side effects. These results may quietly disappear, leading to unrealistic estimates of the effectiveness of drugs and poorer medical decisions. This talk introduces a project headed by Ben Goldacre, currently at the prototype stage, aiming to encourage publication of clinical trial data by combining information from the different trial repositories in one publicly accessible website, crosschecked with publications. This would allow the identification of trials with no published results, making these absent data points publicly visible.
http://github.com/crowbot/trials -
OpenGeoScience: not just earthquakes
by Patrick Bell
OpenGeoscience is a free web service from the British Geological Survey (BGS) that provides geological information for non-commercial and innovation use. Available resources include street-level (1:50 000 scale) geological maps for the whole GB (delivered via Web Map Services), nearly 50,000 photographic images from BGS? national collection, access to databases e.g. rock classification scheme and lexicon of named rock units, an open research archive and software downloads such as our digital field-data capture system. OpenGeoscience aims to exploit and open up access to BGS knowledge, information and data. The user community is taking advantage of OpenGeoscience and a number of ?mashups? incorporating the geology mapping WMS have already been created. This presentation will touch on knowledge exchange initiatives within the BGS and how OpenGeoscience fits in. It will discuss the user community for OpenGeoscience and how the service aims to meet their needs. The technical methods of its implementation will be explored and plans for the future unveiled.
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3C: Enhancing Trust in Science through Computable Publication
by James Hetherington
AMEE, the Avoiding Mass Extinctions Engine, provides a RESTful API comprising many mathematical models of the environmental impact of human activity, in particular, greenhouse gas emissions. This API is consumed by many environmental-impact-tracking websites. The models and data used by AMEE in building the API are published in many forms, but most of these are designed to be read by humans only, and are not arranged in a manner suitable for computational use. We advocate and enable Computable Publication of scientific research, where the results, dependencies, and methodologies are published in a machine readable fashion. This promotes One-Click Reproducibility. Greenhouse gas management is a world of conflicting governmental and international standards, none of which is initally published in a computable form. By making these available as Computable Standards, AMEE can enhance the capability of the world to make wise long-term decisions based on trustworthy open science.
http://www.amee.comAlso in this slot:
Who Owns my Genome Data - Manuel Corpas
http://lanyrd.com/2010/opentech/...OpenGeoScience: not just earthquakes - Patrick Bell
http://lanyrd.com/2010/opentech/...
