Data Management Core

摘要 开发新的多维治疗模式并将其转化为临床实践 纳米粒给药系统将对多发性硬化症的临床治疗产生重大积极影响 骨髓瘤。要实现这一长期目标，将需要对颗粒进行彻底的表征，严格控制 对实验方案和实验结果进行仔细分析，以确定安全性和有效性。这个 核心2：数据管理的主要任务是捕获、整理、管理、分发和促进 分析CMMN研究团队产生的所有数据。Core 2还将提供一套协作 为团队提供工具，并成为数据共享的主要渠道。目前没有设施或核心存在于 华盛顿大学能够管理各种类型的数据，这些数据将由 组成CMMN的三个研究团队。我们将在我们几十年的经验基础上建立在大型- 大规模临床试验和多站点、多学科的癌症研究团队以及我们现有的大数据基础 满足CMMN数据管理需求的管理工具和程序。目前没有连贯的 管理纳米材料表征的策略存在于WUSTL。而临床前的影像管理 系统确实退出了，它已经过时，不能满足CMMN团队的需求。为了促进这一点 翻译研究，并与CMMN癌症研究社区分享我们的过程和经验， 我们建议：1)通过管理基本协议和样本表征来支持所有项目团队 信息，2)捕获所有项目生成的临床前图像，以及3)整合 CMMN团队并将信息公开可访问。 我们的跨专业数据管理核心团队与绩效指标以类似的身份在 以前成功的大型癌症研究项目和网络(4)。我们在以下方面有丰富的经验 创建和管理大型信息库和先进的影像信息学。这个 我们团队的长期目标是开发和部署软件和服务，以推动先进的量化 图像分析，促进基于纳米技术的新型癌症疗法的开发，并提供 研究人员询问多通道数据集并对其进行挖掘以创建和验证小说的门户 癌症研究中的假设。我们拥有生物医学知识和信息学技能，以促进 成功的CCNE研究议程。

Abstract Developing and translating into clinical practice a novel multidimensional treatment paradigm based on nanoparticle delivery systems will have a major positive impact on the clinical management of multiple myeloma. To achieve this long term goal will require thorough characterization of the particles, rigorous control of experimental protocols and careful analysis of experiments results to establish safety and efficacy. The primary mission of Core 2: Data Management is to capture, curate, manage, distribute and facilitate the analysis of all data generated by the CMMN research teams. Core 2 will also provide a suite of collaboration tools for the team and be the primary conduit for data sharing. Currently no facility or core exists at Washington University with the capability to manage the diverse types of data that will be produced by the three research teams that comprise the CMMN. We will build on our decades of experience with large- scale clinical trials and multi-site, multi-disciplinary cancer research teams and our existing base of big data management tools and procedures to meet the data management needs of the CMMN. Currently no coherent strategy for managing nanomaterial characterization exists at WUSTL. While a pre-clinical image management system does exits, it is outdated and does not meet the needs of the CMMN team. To facilitate this translational research and share our processes and experiences with the CMMN cancer research community, we propose to:1) Support all project teams by managing essential protocol and sample characterization information, 2) Capture pre-clinical images generated by all projects, and 3) Integrate all activities of the CMMN team and make information publicly accessible. Our multi-disciplinary Data Management Core team has worked together with the PIs in a similar capacity on prior successful large-scale cancer research projects and networks (4). We have extensive experience with the creation and management of large-scale information repositories and advanced imaging informatics. The long-term goal of our team is to develop and deploy software and services to drive advanced quantitative image analysis, facilitate the development of novel, nanotechnology based cancer therapies and provide a gateway for researchers to interrogate multi-modality datasets and mine them to create and validate novel hypotheses in cancer research. We possess both the biomedical knowledge and informatics skills to facilitate a successful CCNE research agenda.