Collaborative Research: Rolling Deck to Repository (R2R): Transforming the Academic Fleet Into an Integrated Global Observing System

合作研究：滚动甲板到存储库（R2R）：将学术舰队转变为综合的全球观测系统

• 批准号: 0947877
• 负责人: Suzanne Carbotte
• 金额: $ 106.57万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0947877&HistoricalAwards=false
• 关键词: Collaborative; Research; Rolling; Deck; Repository

This proposal presents a new approach to improve data preservation and accessibility ? the Rolling Deck to Repository (R2R) Project ? a comprehensive plan for fleet-wide data management. R2R will be a central shore-side data gateway through which underway data from each expedition are routinely cataloged and transmitted from UNOLS ship operators to long-term national archives. R2R will provide essential data documentation services including the production of standardized cruise-level metadata, data inventories, navigation products, and an operations report for every expedition. Tools for routine logging of over-the-side sensor deployments and sampling stations will be developed and deployed to facilitate creation of a sampling ?event log? for each cruise. In partnership with the Shipboard Automated Meteorological and Oceanographic System (SAMOS; http://samos.coaps.fsu.edu/) Data Assembly Center (DAC), R2R protocols will be established for near real-time transfer and automated Quality Assessment (QA) of meteorological and thermosalinograph data providing direct feedback to operators while the cruise is underway. R2R will coordinate the development of routines for post-cruise QA of underway data types, with initial development focused on geophysical sensors (multibeam sonar, subbottom profilers, magnetics, gravity), and subsequent expansion to other sensors (CTD, ADCP, etc). Using R2R tools, underway data will be categorized and sufficiently documented for submission to long-term National Data Centers (NDCs) operated by NOAA, and to DACs specialized in the reduction and analysis of specific data types. Our approach will be to leverage and augment the existing centralized information resources of the UNOLS office, ship operators, and NDCs to facilitate the documentation and delivery of oceanographic data from ?rolling deck? to ?repository.? Our vision is that working directly with ship operators and technicians will ensure more complete and consistent acquisition, quality, preservation, and dissemination of these high-value data, thereby transforming the academic fleet into an integrated global observing system.Broader Impacts: Access to research vessels is becoming increasingly more expensive and difficult. The R2R project will help to leverage these costs for the benefit of the entire ocean science community and any other potential users of the data that will be routinely collected, checked and properly archived. As the proposers state, this will essentially make the UNOLS fleet an observatory system that will have coastal, regional and global scope, providing data sets useful to current and future researchers. Going forward with this project, even though it may seem expensive will in the long run make our investment in the research vessels, instrumentation and operational costs much more cost effective.

这项提议提出了一种改进数据保存和可访问性的新方法？滚动甲板到储存库(R2R)项目？一个全面的机队范围数据管理计划。R2R将是一个中央岸边数据门户，通过该门户，每次考察的在航数据将被例行编目，并由联索政治处船舶运营者传输到长期国家档案馆。R2R将提供基本的数据文件服务，包括制作标准化的巡航级元数据、数据清单、导航产品和每次探险的行动报告。将开发和部署用于现场传感器部署和采样站常规记录的工具，以促进采样事件日志的创建。每一次巡航。与船上自动气象和海洋系统(SAMOS；http://samos.coaps.fsu.edu/)数据组装中心)合作，将建立R2R协议，在巡航期间向操作员提供直接反馈的气象和热盐度计数据的近实时传输和自动质量评估(QA)。R2R将协调为正在进行的数据类型的巡航后质量保证制定例行程序，最初的开发重点是地球物理传感器(多波束声纳、海底剖面仪、磁学、重力)，随后扩展到其他传感器(CTD、ADCP等)。使用R2R工具，正在进行的数据将被分类和充分记录，以便提交给由NOAA运营的长期国家数据中心(NDC)，以及专门减少和分析特定数据类型的DAC。我们的办法将是利用和加强联索办办公室、船舶运营商和国家数据中心现有的集中信息资源，以促进海洋数据的记录和交付。至？存储库。？我们的愿景是，直接与船舶运营商和技术人员合作，将确保更完整和一致地获取、质量、保存和传播这些高价值数据，从而将学术船队转变为一个综合的全球观测系统。广泛的影响：进入考察船变得越来越昂贵和困难。R2R项目将有助于利用这些成本，造福于整个海洋科学界和将定期收集、检查和适当存档的数据的任何其他潜在用户。正如提出者所述，这基本上将使联索政治处的船队成为一个具有沿海、区域和全球范围的观测站系统，为当前和未来的研究人员提供有用的数据集。继续这个项目，尽管它看起来可能很昂贵，但从长远来看，将使我们在考察船、仪器和运营成本上的投资更具成本效益。