Biospecimen management software for community-oriented sites

描述（由申请人提供）：社区癌症治疗计划为全国大多数癌症患者提供护理，并可能成为转化癌症研究的大量和多样化的生物标本来源。不幸的是，能够接触到这些病人的面向社区的生物储存库由于缺乏满足他们需要的软件而受到限制。社区站点通常拥有有限的资源（包括IT支持），因此需要低成本、易于安装和使用并在通用硬件和软件平台上运行的软件。由于它们单独的体积较小，社区生物库需要能够提供来自多个地点的可比生物标本的集合。跨站点生产和鉴定可比标本需要遵守标准操作程序，获取标准数据元素，并在生物储存库网络之间共享数据。这些功能存在于复杂的生物存储软件中，但在面向社区的软件包中通常找不到。弗吉尼亚大学（UVA）在过去两年中一直在开发生物信息库软件，通过扩展开源研究数据管理系统Caisis中包含的基本生物信息库模块，供当地使用。Caisis最初是由NCI在纪念斯隆凯特琳癌症中心的资助下开发的。它是。Net应用程序，使用Microsoft SQL Server作为后端。它可以安装在单个Windows服务器上，并且易于管理和使用。该系统有一个活跃的开源用户和开发人员社区，UVA是其中的一员，商业支持是一种选择。UVA和一个面向社区的生物储存库合作小组提议扩展UVA在Caisis生物标本模块上的初步工作，以创建适合社区站点的现代生物储存库系统。由此产生的软件将支持生物库活动的全部补充，包括使用当前生物库标准操作程序和当前生物库数据标准推荐的协议驱动的标本收集和档案生物库。它将支持临床注释，质量控制工作流程，基于处理或临床特征的标本搜索，以及标本请求和分发跟踪。它还将支持在使用标准通信协议的系统之间共享样本和请求信息。该软件将在两年内在UVA编写，并将在合作伙伴社区站点安装和评估带有测试计划的渐进式版本。在项目的最后一年，将编写数据模型的文档、安装/维护指南和用户指南，并将软件和文档打包并贡献给Caisis开源项目。

DESCRIPTION (provided by applicant): Community cancer treatment programs provide care for the majority of cancer patients nationally and could be a large and diverse source of biospecimens for translational cancer research. Unfortunately, community- oriented biorepositories that have access to these patients are limited by a lack of software that meets their needs. Community sites typically have limited resources including IT support and therefore need software that is low cost, easy to install and use, and runs on common hardware and software platforms. Because they are individually low volume, community biorepositories need to be able to contribute to aggregates of comparable biospecimens derived from multiple sites. Production and identification of comparable specimens across sites requires adherence to standard operating procedures, capture of standard data elements, and sharing data across networks of biorepositories. These capabilities exist in sophisticated biorepository software but are not typically found in community-oriented packages. The University of Virginia (UVA) has been developing biorepository software for the past two years for local use by extending the basic biorepository module included with the open source research data management system, Caisis. Caisis was originally developed with NCI funding at Memorial Sloan Kettering Cancer Center. It is a .Net application that uses Microsoft SQL Server as a back end. It can be installed on a single Windows server and is straightforward to administer and use. The system has an active open source user and developer community, of which UVA is a member, and commercial support is available as an option. UVA and a collaborating group of community-oriented biorepositories propose to extend UVA's initial work on the Caisis biospecimen module to create a modern biorepository system that is appropriate for community sites. The resulting software will support the full complement of biorepository activities, including protocol-driven specimen collection and archival biobanking using current recommendations for biorepository standard operating procedures and current biorepository data standards. It will support clinical annotation, quality control workflows, specimen search based on processing or clinical characteristics, and specimen request and distribution tracking. It will also support sharing specimen and request information between systems using standard communication protocols. The software will be written at UVA over a two year period and progressive releases with test plans will be installed and evaluated at the partner community sites. In the final year of the project, documentation of the data model, an installation/ maintenance guide, and a user guide will be written and the software and documentation will be packaged and contributed to the Caisis open source project.