'Omics Data Sharing: the Investigation / Study / Assay (ISA) Infrastructure

组学数据共享：调查/研究/分析 (ISA) 基础设施

• 批准号: BB/I000771/1
• 负责人: Susanna Sansone
• 金额: $ 104.45万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2010
• 资助国家: 英国
• 起止时间: 2010 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FI000771%2F1
• 关键词: Omics; Data; Sharing; Investigation; Study

There is a pressing and recognized need in the biological domain for improved data sharing and unified access to data from a wide range of sources. The use of 'omics technologies (such as genomics, metagenomics, transcriptomics, proteomics and metabolomics) is now wide-spread and the rate at which these technologies generate data is revolutionizing the scientific landscape. This massive influx of data brings both unprecedented scientific opportunities and a range of challenges that must be met if these data, and the public investment in science that they represent, are to be fully exploited. While there are many obstacles to overcome if we are to realize large-scale multi-omic data sharing at the community level, solutions are now possible due to the activities of a range of grass-roots standardisation projects including the 'Minimum Information for Biological and Biomedical Investigations' (MIBBI) project (http://mibbi.org/) and the Open Biological Ontologies (OBO) Foundry (http://obofoundry.org/). We propose to make more widely available our 'omics data sharing software based on the 'Investigation / Study / Assay' (ISA) concept (http://isatab.sf.net). The ISA concept allows the description of any 'Investigation' comprising one or more 'Studies' in which biological samples have been studied using one or more 'Assays' (technologies). The ISA concept is supported by the MIBBI community and has been used to structure a universal file format, ISA-Tab. The ISA-Tab file format leverages biologists' familiarity with, and trust of spreadsheet-based input and manipulation of information. Descriptive experimental information (metadata) captured in ISA-Tab format is made compliant with MIBBI-registered standards (for transcriptomics, MIAME; for proteomics, MIAPE; and for genomics, MIGS/MIMS) using pre-defined extensions. ISA-Tab can be configured to hold additional fields allowing users to comply with emerging standards as well. The availability of this universal file format has enabled the creation of a set of tools and a database to hold data sets captured in it. The current pilot-stage ISA Infrastructure provides a complete solution for managing multi-omic metadata at the community level. A core aspect of the design of the ISA Infrastructure is its integral use of OBO Foundry ontologies to describe investigations, rendering data descriptions unambiguous and computationally accessible. In the course of this proposed project, we will extend the current ISA Infrastructure implementation and work with identified research communities and their bioinformatic service providers to set up 'ISA Networks' in the UK and around the globe, covering a wide range of data types. These portals will serve as 'one-stop shops' for the aggregation and display of relevant datasets at the community level. The metadata captured will support searching and data discovery across organisms, technologies and data types. The shared use of minimum information standards, ontologies and a single file format will support exchange of data between communities and the transfer of data to and from public repositories. At the international level, we will work closely with the MIBBI and OBO Foundry communities to further unify MIBBI checklists and OBO Foundry ontologies to support descriptions of multi-omic investigations. The development of the ISA Infrastructure must be consensus-driven and is therefore best developed under the auspices of an international working group. We will therefore formalise the collaboration between ISA Networks and work within the data standardisation community to increase linkages between currently separated groups by launching the BioSharing Consortium (http://biosharing.org).

生物领域迫切需要改进数据共享和统一访问各种来源的数据。组学技术（如基因组学、宏基因组学、转录组学、蛋白质组学和代谢组学）的使用现已广泛使用，这些技术生成数据的速度正在彻底改变科学领域。大量数据的涌入既带来了前所未有的科学机遇，也带来了一系列挑战，如果要充分利用这些数据及其所代表的科学公共投资，就必须应对这些挑战。虽然如果我们要在社区层面实现大规模多组学数据共享，还有许多障碍需要克服，但由于一系列基层标准化项目的活动，包括“生物和生物的最低信息”，现在解决方案是可能的。生物医学调查 (MIBBI) 项目 (http://mibbi.org/) 和开放生物本体 (OBO) Foundry (http://obofoundry.org/)。我们建议更广泛地提供基于“调查/研究/分析”(ISA) 概念的“组学数据共享软件”(http://isatab.sf.net)。 ISA 概念允许描述任何包含一项或多项“研究”的“调查”，其中使用一种或多种“测定”（技术）对生物样本进行研究。 ISA 概念得到 MIBBI 社区的支持，并已用于构建通用文件格式 ISA-Tab。 ISA-Tab 文件格式利用了生物学家对基于电子表格的信息输入和操作的熟悉和信任。使用预定义的扩展，以 ISA-Tab 格式捕获的描述性实验信息（元数据）符合 MIBBI 注册标准（对于转录组学，MIAME；对于蛋白质组学，MIAPE；对于基因组学，MIGS/MIMS）。 ISA-Tab 可以配置为保存附加字段，使用户也能够遵守新兴标准。这种通用文件格式的可用性使得能够创建一组工具和一个数据库来保存其中捕获的数据集。当前试验阶段的 ISA 基础设施提供了用于在社区级别管理多组学元数据的完整解决方案。 ISA 基础设施设计的一个核心方面是其整体使用 OBO Foundry 本体来描述调查，使数据描述明确且易于计算访问。在这个拟议项目的过程中，我们将扩展当前的 ISA 基础设施实施，并与已确定的研究团体及其生物信息服务提供商合作，在英国和全球范围内建立“ISA 网络”，涵盖广泛的数据类型。这些门户将充当“一站式商店”，用于在社区层面聚合和显示相关数据集。捕获的元数据将支持跨生物体、技术和数据类型的搜索和数据发现。最低信息标准、本体和单一文件格式的共享使用将支持社区之间的数据交换以及公共存储库之间的数据传输。在国际层面，我们将与 MIBBI 和 OBO Foundry 社区密切合作，进一步统一 MIBBI 检查表和 OBO Foundry 本体，以支持多组学研究的描述。 ISA 基础设施的开发必须以共识为驱动，因此最好在国际工作组的主持下进行开发。因此，我们将正式确定 ISA Networks 之间的合作，并在数据标准化社区内开展工作，通过启动 BioSharing Consortium (http://biosharing.org) 来加强目前分离的团体之间的联系。

项目成果

COPO - bridging the gap from data to publication in plant science

COPO - 弥合植物科学从数据到出版的差距

• DOI: 10.7490/f1000research.1111380.1
• 发表时间: 2016
• 期刊: F1000Research
• 作者: Anthony Etuk

Consent insufficient for data release-Response.

同意不足以发布数据-响应。

• DOI: 10.1126/science.aax7509
• 发表时间: 2019
• 期刊: Science (New York, N.Y.)
• 作者: Amann RI

Modeling biomedical experimental processes with OBI.

• DOI: 10.1186/2041-1480-1-s1-s7
• 发表时间: 2010-06-22
• 期刊: Journal of biomedical semantics
• 影响因子: 1.9
• 作者: Brinkman RR;Courtot M;Derom D;Fostel JM;He Y;Lord P;Malone J;Parkinson H;Peters B;Rocca-Serra P;Ruttenberg A;Sansone SA;Soldatova LN;Stoeckert CJ Jr;Turner JA;Zheng J;OBI consortium
• 通讯作者: OBI consortium

Standardizing data.

标准化数据。

• DOI: 10.1038/nnano.2013.12
• 发表时间: 2013-02
• 期刊: Nature nanotechnology
• 影响因子: 38.3