SDCI Data Improvement: Improvement and Sustainability of iRODS Data Grid Software for Multi-Disciplinary Community Driven Application

面向规则的综合数据系统(IRODS)软件用于国际范围内的生产系统，支持地震学、海洋学、天文学、植物生物学、气候变化、认知科学、社会科学、心理语言学和高能物理学的跨学科研究项目。IRODS数据网格支持大规模的收集，从200 GB的小型社会科学收集到数PB的观测数据收集。这将为iRODS基础设施的开发提供资金，以纳入满足每个用户社区需求的新功能，支持与特定领域技术的互操作性，例如支持扩展的元数据系统、高级数据传输协议、统一的身份验证环境、用户选择的访问机制、数据分析微服务和实时数据流。这笔经费还将用于继续为软件的安装和定制提供咨询支持，纳入一个国际合作者小组开发的新功能，并介绍iRODS的应用教程和讲习班。我们将开发封装标准策略和程序集的规则包，以简化新社区的使用。我们将与威斯康星大学在安全评估方面进行合作，将漏洞降至最低，并与文艺复兴计算研究所就与云计算系统的集成进行合作。我们将探索与数据库联合和工作流集成相关的研究计划，以满足用户社区的特定需求。我们将开发机制(改进的用户界面、文档和规则包)，使iRODS数据网格能够大规模使用，拥有数千至数百万用户。我们将支持将iRODS基础设施应用于国家科学基金会的研究计划，明确目标是能够将机构储存库中的共享收藏品用于教育计划。由于iRODS中用于控制收藏的策略可以进行调整以满足特定的社区目标，因此iRODS可用于将机构存储库与NSF国家研究计划相集成。IRODS还可以将个人笔记本电脑与国家合作联系起来，使学生能够在政策控制下参与研究活动。通过创建标准规则包，我们将能够在研究项目、机构储存库、国家研究项目和国际合作中创建参考文献集合。

The integrated Rule Oriented Data System (iRODS) software is used in production systems on an international scale, supporting interdisciplinary research projects in seismology, oceanography, astronomy, plant biology, climate change, cognitive science, social sciences, psycholinguistics, and high-energy physics. The iRODS data grid supports collections at scale, from small 200 Gigabyte social science collections, to multi-petabyte collections of observational data.This will fund the development of the iRODS infrastructure to incorporate new capabilities to meet the requirements by each user community, to support interoperability with domain specific technologies such as support for an extended metadata system, advanced data transport protocols, unification of authentication environments, user-selected access mechanisms, data analytic micro-services, and real-time data streams. This will also fund continued consulting support for installation and customization of the software, incorporation of new features developed by an international group of collaborators, and presentation of tutorials and workshops on applications of iRODS. We will develop rulekits that encapsulate standard policy and procedure sets to simplify use by new communities. We will collaborate with the University of Wisconsin on security appraisals to minimize vulnerabilities, and collaborate with the Renaissance Computing Institute on integration with cloud computing systems. We will explore research initiatives related to database federation and workflow integration to meet specific requirements of the user communities.We will develop the mechanisms (improved user interfaces, documentation, and rulekits) that will enable use of the iRODS data grid at scale with thousands to millions of users. We will support the application of the iRODS infrastructure to NSF research initiatives with the explicit goal of enabling use of shared collections within institutional repositories for education initiatives. Since the policies used within iRODS to control collections can be tuned to meet specific community goals, iRODS can be used to integrate institutional repositories with NSF national research initiatives. iRODS can also link personal laptops into national collaborations, enabling policy-controlled participation by students in research initiatives. Through creation of standard rulekits, we will enable creation of reference collections within research projects, within institutional repositories, within national research projects, and within international collaborations.