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

集成的规则导向数据系统（iRODS）软件在国际范围内用于生产系统，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等跨学科研究项目。iRODS数据网格支持大规模收集，从小型的200gb社会科学收集到多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，例如支持扩展元数据系统、高级数据传输协议、认证环境的统一、用户选择的访问机制、数据分析微服务和实时数据流。这还将资助继续为软件的安装和定制提供咨询支持，纳入由国际合作者小组开发的新特性，以及介绍关于iRODS应用的教程和讲习班。我们将开发包含标准政策和程序集的规则包，以简化新社区的使用。我们将与威斯康星大学合作进行安全评估，以最大限度地减少漏洞，并与复兴计算研究所合作，与云计算系统集成。我们将探索与数据库联合和工作流集成相关的研究计划，以满足用户群体的特定需求。我们将开发机制（改进的用户界面、文档和规则包），使iRODS数据网格能够在数千到数百万用户中大规模使用。我们将支持iRODS基础设施在NSF研究计划中的应用，其明确目标是在教育计划中使用机构存储库中的共享集合。由于iRODS中用于控制集合的策略可以调优以满足特定的社区目标，因此iRODS可以用于将机构存储库与NSF国家研究计划集成在一起。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计划。通过创建标准规则集，我们将能够在研究项目、机构知识库、国家研究项目和国际合作中创建参考馆藏。

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.