I-Corps: Teams Project: iRODS-to-Market

该项目计划为分布式集合提供策略驱动的数据管理。通过这项工作开发的技术支持数据虚拟化，提供跨异构和云资源的分布式数据的全局视图和受控管理和共享。作为数据网格，它为数据对象、资源和用户提供抽象，并管理对底层物理基础设施的访问。该技术还对数据管理进行了抽象，将策略实现与物理存储分离；该技术的规则允许数据管理人员自动化管理服务，并独立于（本地或远程）数据存储系统实现复制、分发、预处理和后处理、元数据管理等策略。该技术可用于管理分布在云中的数据。科学数据收集代表智力资本，未来的研究和基于证据的决策可以从中得出。随着数据集的增长，对数据共享、数据发布和数据保存的需求也在增加；当数据量大、分析复杂时，这些都是实现基于数据的科学进步所必需的。通过该项目开发的技术已经在科学数据管理中得到了证明；它被广泛应用于国家研究项目和世界各地的机构，这些机构对数据的巨大需求迫使它们寻求新的基础设施技术。拟议的项目希望促进自定义环境的构建和实现复杂数据策略的新部署。这一提议将与利用大数据的许多创新商业机会产生协同效应。利用机遇，为企业、科学家和政府创造价值，需要存储、管理和分析大量和各种各样的数据。这个项目提供了这样做的技术。

This project plans to provide policy-driven data management for distributed collections. The technology developed through this effort supports data virtualization, affording a global view and controlled management and sharing of distributed data, across heterogeneous and cloud resources. As a data grid, it provides abstractions for data objects, resources, and users and manages access to underlying physical infrastructure. This technology also abstracts data management, separating policy implementation from physical storage; the technology's rules allow data managers to automate administrative services and to implement policies for replication, distribution, pre- and post-processing, metadata management, etc. - independently of the (local or remote) data storage system. This technology can be used for managing data distributed across the cloud.Scientific data collections represent intellectual capital from which future research and evidence-based decisions can be derived. As collections grow, demand increases for data sharing, data publication, and data preservation; these are all necessary to enable data-based scientific advancement when data volume is high and analysis is sophisticated. The technology developed through this project has already proven itself in scientific data management; it is widely used within national research projects and around the world in institutions whose crushing data needs compel them to seek new infrastructure technologies. The proposed project hopes to facilitate the build-out of custom environments and new deployments that implement complex data policy.This proposal is synergistic with many innovative business opportunities that will leverage big data. Harnessing opportunities and creating value for businesses, scientists, and government requires storing, managing, and analyzing high volumes and wide varieties of data. This project provides technology for doing that.