FaceBase 2 Coordinating Center

FaceBase 2 协调中心

• 批准号: 9265441
• 负责人: Carl Kesselman
• 金额: $ 196.65万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-16 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9265441
• 关键词: Advisory Committees; Anatomy; Animal Model; Architecture; Bioinformatics; Biological; Collaborations; Collection; Communication; Communities; Data; Data Analyses; Data Element; Data Linkages; Data Set; Databases; Development; Dysmorphology; Ensure; FaceBase; Feedback; Fostering; Funding; Gene Expression; Genetic; Genomics; Goals; Human; Image; Imagery; Knowledge; Lead; Leadership; Link; Methods; Mus; Participant; Play; Policies; Process; Proteomics; Regulatory Pathway; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Role; Secure; Security; Services; Site; Structure; Teleconferences; Visualization software; Yang; analytical tool; base; craniofacial; craniofacial development; data hub; data integration; data management; data sharing; data visualization; design; experience; human data; imaging genetics; imaging modality; instrumentation; meetings; member; migration; operation; public health relevance; tool; user centered design

DESCRIPTION (provided by applicant): The FaceBase consortium is a distributed network of researchers investigating craniofacial development and dysmorphology. The consortium includes research projects directly participating via funded "spoke" projects as well as members of the craniofacial research community at large. The collection, sharing and integration of heterogeneous data, including genetic, imaging, and anatomical, from human and animal models are essential for advancing craniofacial research. We will develop and maintain a FaceBase 2 Data Management and Integration Hub infrastructure that will properly store, represent, and serve these data to the research community, and in addition provide access to tools for visualizing, integrating, annotating, linking and analyzing the data. Our three broad aims will provide not only the needed data migration and management, but also a set of user-centered tools for data visualization, comparison and annotation. These are: Aim 1: Create an infrastructure driven by principles of ease of use and user centered design to manage data throughout its lifecycle. By taking a user centric approach and supporting the use of data throughout its lifecycle, the rate of discovery and utility of the hub can be maximized. Aim 2: Provide tools within the Hub that accelerate craniofacial research by enabling data annotation, integration and analysis. To maximize the utility of the Hub for both spoke projects and outside users, our proposed infrastructure will allow any user to define a personal workspace, organize datasets visualization tools and analysis tools into specific user-driven workflows. Aim 3: Promote use and collaboration across the FaceBase research network. The Hub will provide a wide range of collaboration tools and services to the consortium as well as organizing face-to-face meetings in order to enhance collaboration. We have assembled an experienced team of experts in bioinformatics, imaging, genetics, mouse and human studies, including FaceBase participants who bring firsthand knowledge of the needs within the craniofacial research community. The FaceBase team is intentionally diverse, to provide each spoke group at least one informed contact who will play an integral role in the development and implementation of the Hub, thereby ensuring that the data of each spoke project will have maximum impact on the community of researchers.

描述（由申请人提供）：FaceBase联盟是研究颅面发育和畸形的研究人员组成的分布式网络。该联盟包括通过资助的“spoke”项目直接参与的研究项目以及颅面研究界的广大成员。收集、共享和整合来自人类和动物模型的异构数据，包括遗传、成像和解剖学数据，对于推进颅面研究至关重要。我们将开发和维护一个FaceBase 2数据管理和集成中心基础设施，该基础设施将适当地存储、表示并为研究社区提供这些数据，此外还提供对可视化、集成、注释、链接和分析数据的工具的访问。我们的三大目标将不仅提供所需的数据迁移和管理，还提供一套以用户为中心的数据可视化、比较和注释工具。目标1：创建一个由易用性和以用户为中心的设计原则驱动的基础设施，以管理数据的整个生命周期。通过采用以用户为中心的方法并支持数据在其整个生命周期中的使用，可以最大限度地提高中心的发现速度和效用。目标2：在Hub内提供工具，通过支持数据注释、集成和分析来加速颅面研究。为了最大限度地发挥Hub对辐条项目和外部用户的效用，我们提议的基础设施将允许任何用户定义个人工作空间，将数据集可视化工具和分析工具组织到特定的用户驱动工作流中。目标3：促进整个FaceBase研究网络的使用和协作。该中心将为该联盟提供广泛的协作工具和服务，并组织面对面会议以加强协作。我们在生物信息学、成像、遗传学、小鼠和人类研究方面组建了一支经验丰富的专家团队，其中包括FaceBase参与者，他们为颅面研究界带来了第一手的需求知识。FaceBase团队有意做到多样化，为每个spoke组提供至少一名知情联系人，该联系人将在Hub的开发和实施中发挥不可或缺的作用，从而确保每个spoke项目的数据将对研究人员社区产生最大的影响。