Collaborative Research: ABI Development: Kurator: A Provenance-enabled Workflow Platform and Toolkit to Curate Biodiversity Data

协作研究：ABI 开发：Kurator：用于管理生物多样性数据的支持来源的工作流程平台和工具包

• 批准号: 1356438
• 负责人: James Hanken
• 金额: $ 89.7万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1356438&HistoricalAwards=false
• 关键词: Collaborative; Research; ABI; Development; Kurator

The University of Illinois Urbana Champaign and Harvard University are awarded grants to develop software tools for scientific data digitization, sharing, integration and use. The considerable challenge to digitizing natural science collections in the U.S. (and globally) necessitate a focus on both digitization efficiencies and the utility of the generated data. This grant will develop a novel, extensible, open source toolkit (Kurator) for automated and semi-automated workflows with diverse curation services to aid biodiversity research and beyond. This project will enhance discovery and understanding while promoting teaching, training and learning. A postdoctoral fellow will be trained in provenance enhanced workflow technology and contribute to Kurator design and implementation. Principles of data management curation with a focus on provenance will be taught in undergraduate and graduate courses. This project will also enhance infrastructure for research and education through collaborations with iDigBio and the Encyclopedia of Life. Educational modules and outreach activities on data quality and data curation will be developed for undergraduates and high school educators. Several Thematic Collection Networks will provide data via iDigBio for testing to insure dissemination of high quality data. Critical community authority files that do not have associated web services will be made available to the greater community as Kurator actors and services. Kurator will consist of a user friendly web interface for users to configure and launch workflows while maintaining provenance, and a workflow platform for rapid development of new curation services and workflow variants. The latter will also be used to "wrap" valuable domain authority files that are not currently available as services. New "curator-in-the-loop" workflow technology allows us to directly involve experts in semi automatic curation pipelines, using human interaction actors via FilteredPush, other syndication methods, and discovery environments. Kurator will allow examination of data lineages to facilitate the assessment of credibility, supports repeatability in publication, informs legal proceedings where data are regulated, and provides context for feedback to a given resource. Kurator will facilitate digitization efforts through custom processing of raw data obtained from hardcopy specimen labels against existing services, including taxonomic name resolution, georeferencing, and duplicate specimen detection, as well as newly created customizable actors for appropriate controlled vocabularies to clean the data. Where required, semi-automated services can invoke expert review using annotation services and existing discovery environments. Curation pipelines can be integrated with other workflows for analysis of ecological, evolutionary, phenological, genomic and related data, can be shared or repurposed easily, and can be made accessible for publication.

伊利诺伊大学乌尔巴纳大学香槟分校和哈佛大学被授予赠款，以开发用于科学数据数字化，共享，集成和使用的软件工具。在美国（以及全球）数字化自然科学收集的巨大挑战必须重点介绍数字化效率和生成数据的实用性。该赠款将开发一种新颖的，可扩展的开源工具包（Kurator），用于自动化和半自动化的工作流，并提供多种策展服务，以帮助生物多样性研究及以后。该项目将在促进教学，培训和学习时增强发现和理解。博士后研究员将接受培训，以增强出处的工作流程技术，并为Kurator的设计和实施做出贡献。在本科和研究生课程中将教授以出处的重点进行数据管理策划的原则。该项目还将通过与Idigbio和《生活百科全书》的合作来增强研究和教育的基础设施。将为大学生和高中教育者开发有关数据质量和数据策展的教育模块和外展活动。几个主题收集网络将通过IDIGBIO提供数据，以确保传播高质量数据。与Kurator Actors and Services一起，将为更大的社区提供没有关联的Web服务的关键社区权威文件。 Kurator将由一个用户友好的Web界面组成，供用户在维护出处，并在维护起源的同时配置和启动工作流程，以及用于快速开发新的策展服务和工作流变体的工作流平台。后者还将用于“包装”当前无法作为服务的宝贵域授权文件。新的“策展人”工作流程技术使我们能够直接参与半自动策划管道中的专家，并通过过滤式PUSH，其他联合组织和发现环境使用人类互动参与者。 Kurator将允许检查数据谱系，以促进信誉的评估，支持出版物中的可重复性，告知对数据受到监管的法律程序，并为给定资源提供反馈的背景。 Kurator将通过自定义从硬拷贝标本标签获得的原始数据来促进数字化工作，包括针对现有服务，包括分类名称分辨率，地理标本和重复的标本检测，以及新创建的可自定义的参与者，用于适当的受控词汇表，以清洁数据。在需要的情况下，半自动服务可以使用注释服务和现有发现环境调用专家审查。可以将策展管道与其他工作流程集成，以分析生态，进化，物候，基因组和相关数据，可以轻松共享或重新利用，并可以访问以供出版。