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，可能是转化癌症研究的生物标本的大量和多样化来源。不幸的是，面向社区的生物储存库可以接触到这些患者，但由于缺乏满足他们需求的软件而受到限制。社区站点通常具有有限的资源，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。因为它们是单独的低容量，社区生物储存库需要能够有助于来自多个地点的可比生物标本的聚集体。生产和鉴定不同地点的可比标本需要遵守标准操作程序，捕获标准数据元素，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库软件中，但通常在面向社区的软件包中找不到。过去两年来，弗吉尼亚大学一直在开发生物储存库软件，供当地使用，方法是扩展开源研究数据管理系统Caisis中的基本生物储存库模块。Caisis最初是由纪念斯隆凯特琳癌症中心的NCI资助开发的。它是一个使用Microsoft SQL Server作为后端的.Net应用程序。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放源码用户和开发人员社区，UVA是其中的一员，并可选择提供商业支持。UVA和一个面向社区的生物储存库合作小组建议扩展UVA在Caisis生物标本模块上的初步工作，以创建一个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，包括方案驱动的标本收集和档案生物库，使用当前的生物库标准操作程序和当前的生物库数据标准的建议。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版本。在项目的最后一年，将编写数据模型文件、安装/维护指南和用户指南，软件和文件将打包并提供给Caisis开放源码项目。

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.