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Models for financial sustainability of biological databases and resources

机译:生物数据库和资源的财务可持续性模型

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Following the technological advances that have enabled genome-wide analysis in most model organisms over the last decade, there has been unprecedented growth in genomic and post-genomic science with concomitant generation of an exponentially increasing volume of data and material resources. As a result, numerous repositories have been created to store and archive data, organisms and material, which are of substantial value to the whole community. Sustained access, facilitating re-use of these resources, is essential, not only for validation, but for re-analysis, testing of new hypotheses and developing new technologies/platforms. A common challenge for most data resources and biological repositories today is finding financial support for maintenance and development to best serve the scientific community. In this study we examine the problems that currently confront the data and resource infrastructure underlying the biomedical sciences. We discuss the financial sustainability issues and potential business models that could be adopted by biological resources and consider long term preservation issues within the context of mouse functional genomics efforts in Europe.
机译:在过去的十年中,随着大多数模型生物对全基因组分析的技术进步,基因组和后基因组科学有了空前的增长,随之而来的是数据和物质资源的数量呈指数增长。结果,创建了许多存储库来存储和归档对整个社区具有重大价值的数据,生物和材料。持续访问,促进这些资源的再利用是必不可少的,这不仅对于验证,而且对于重新分析,测试新假设和开发新技术/平台都至关重要。对于当今大多数数据资源和生物存储库来说,一个共同的挑战是为维护和开发寻求财务支持,以最好地为科学界服务。在这项研究中,我们研究了目前生物医学科学基础上的数据和资源基础设施所面临的问题。我们讨论了生物资源可以采用的财务可持续性问题和潜在的商业模式,并在欧洲鼠标功能基因组学研究的背景下考虑了长期保存问题。

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