Female Reproductive Tissue Mapping Center Data Analysis Core

总结 拟议的HuBMAP女性生殖组织图谱中心（FR）的数据分析核心（DAC） TMC）将根据两个器官特异性项目（OSP 1：胎盘; OSP 2： 子宫、卵巢、输卵管）。DAC将与HuBMAP集成、可视化和 Engagement Collaboratory（HIVE）在整个人体的背景下构建3D组织地图集。 DAC将负责数据处理、注释、元数据管理、分析和地图构建 在FR TMC中。DAC将与FR TMC内的OSP密切互动，并将密切协调 与其他HuBMAP TMC、HIVE和NIH计划工作人员的互动。发援会将确保数据， 元数据、软件和工具将是开放的、可查找的、可访问的、可互操作的、可重用的（FAIR），并将维护 灵活地调整处理和分析能力，以适应HuBMAP联盟内的新兴技术。 DAC将组建一个FR TMC数据发布团队，该团队由所包含数据的专家组成 将直接与HIVE接口的模式，以确保数据质量控制，元数据标准， 便于数据传输。DAC将与HIVE密切合作，优化二次分析管道 并实现配准用户界面，以将组织切片配准到参考器官和公共 协调框架，以充分整合个人的空间和分子数据。作为蜂巢和几个 在2018年获得资助的其他TMC中，我们将采用联盟建立的元数据标准， 指标，分析技术和数据结构，并进行一些调整，以考虑特定的组织和 FR TMC独有的数据类型。

SUMMARY The Data Analysis Core (DAC) of the proposed HuBMAP Female Reproductive Tissue Mapping Center (FR TMC) will build 3D tissue maps from data generated by the two Organ Specific Projects (OSP1: Placenta; OSP2: Uterus, Ovary, Fallopian Tube). The DAC will collaborate with the HuBMAP Integration, Visualization & Engagement Collaboratory (HIVE) to build an atlas of 3D tissue maps in the context of the whole human body. The DAC will be responsible for data processing, annotation, metadata curation, analysis, and map construction within the FR TMC. The DAC will interact closely with the OSPs within the FR TMC and will coordinate close interactions with the other HuBMAP TMCs, HIVE and NIH Program staff. The DAC will ensure that data, metadata, software and tools will be open, findable, accessible, interoperable, reusable (FAIR) and will maintain flexibility to adapt processing and analysis capabilities to emerging technologies within the HuBMAP Consortium. The DAC will assemble a FR TMC Data Release Team comprised of experts in each of the included data modalities that will interface directly with the HIVE to ensure data quality control, metadata standards and facilitate data transfer. The DAC will collaborate closely with the HIVE to optimize secondary analysis pipelines and to implement the Registration User Interface to register tissue sections to reference organs and a Common Coordinate Framework to fully integrate spatial and molecular data across individuals. As the HIVE and several of the other TMCs were funded in 2018, we will adopt Consortium-established metadata standards, data quality metrics, analysis techniques and data structures, with some adjustments to account for the specific tissues and data types that are unique to the FR TMC.