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Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
The Open Drug Discovery Teams (ODDT) project provides a mobile app primarily intended as a research topic aggregator of predominantly open science data collected from various sources on the internet. It exists to facilitate interdisciplinary teamwork and to relieve the user from data overload, deliv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
WILEY-VCH Verlag
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503260/ https://www.ncbi.nlm.nih.gov/pubmed/23198003 http://dx.doi.org/10.1002/minf.201200034 |
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author | Ekins, Sean Clark, Alex M Williams, Antony J |
author_facet | Ekins, Sean Clark, Alex M Williams, Antony J |
author_sort | Ekins, Sean |
collection | PubMed |
description | The Open Drug Discovery Teams (ODDT) project provides a mobile app primarily intended as a research topic aggregator of predominantly open science data collected from various sources on the internet. It exists to facilitate interdisciplinary teamwork and to relieve the user from data overload, delivering access to information that is highly relevant and focused on their topic areas of interest. Research topics include areas of chemistry and adjacent molecule-oriented biomedical sciences, with an emphasis on those which are most amenable to open research at present. These include rare and neglected diseases, and precompetitive and public-good initiatives such as green chemistry. The ODDT project uses a free mobile app as user entry point. The app has a magazine-like interface, and server-side infrastructure for hosting chemistry-related data as well as value added services. The project is open to participation from anyone and provides the ability for users to make annotations and assertions, thereby contributing to the collective value of the data to the engaged community. Much of the content is derived from public sources, but the platform is also amenable to commercial data input. The technology could also be readily used in-house by organizations as a research aggregator that could integrate internal and external science and discussion. The infrastructure for the app is currently based upon the Twitter API as a useful proof of concept for a real time source of publicly generated content. This could be extended further by accessing other APIs providing news and data feeds of relevance to a particular area of interest. As the project evolves, social networking features will be developed for organizing participants into teams, with various forms of communication and content management possible. |
format | Online Article Text |
id | pubmed-3503260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | WILEY-VCH Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-35032602012-11-27 Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration Ekins, Sean Clark, Alex M Williams, Antony J Mol Inform Full Papers The Open Drug Discovery Teams (ODDT) project provides a mobile app primarily intended as a research topic aggregator of predominantly open science data collected from various sources on the internet. It exists to facilitate interdisciplinary teamwork and to relieve the user from data overload, delivering access to information that is highly relevant and focused on their topic areas of interest. Research topics include areas of chemistry and adjacent molecule-oriented biomedical sciences, with an emphasis on those which are most amenable to open research at present. These include rare and neglected diseases, and precompetitive and public-good initiatives such as green chemistry. The ODDT project uses a free mobile app as user entry point. The app has a magazine-like interface, and server-side infrastructure for hosting chemistry-related data as well as value added services. The project is open to participation from anyone and provides the ability for users to make annotations and assertions, thereby contributing to the collective value of the data to the engaged community. Much of the content is derived from public sources, but the platform is also amenable to commercial data input. The technology could also be readily used in-house by organizations as a research aggregator that could integrate internal and external science and discussion. The infrastructure for the app is currently based upon the Twitter API as a useful proof of concept for a real time source of publicly generated content. This could be extended further by accessing other APIs providing news and data feeds of relevance to a particular area of interest. As the project evolves, social networking features will be developed for organizing participants into teams, with various forms of communication and content management possible. WILEY-VCH Verlag 2012-08 2012-08-06 /pmc/articles/PMC3503260/ /pubmed/23198003 http://dx.doi.org/10.1002/minf.201200034 Text en Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms |
spellingShingle | Full Papers Ekins, Sean Clark, Alex M Williams, Antony J Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration |
title | Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration |
title_full | Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration |
title_fullStr | Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration |
title_full_unstemmed | Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration |
title_short | Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration |
title_sort | open drug discovery teams: a chemistry mobile app for collaboration |
topic | Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503260/ https://www.ncbi.nlm.nih.gov/pubmed/23198003 http://dx.doi.org/10.1002/minf.201200034 |
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