CIF21 DIBBs: EI: Creating a Digital Environment for Enabling Data-Driven Science (DEEDS)

CIF21 DIBB：EI：创建数字环境以实现数据驱动科学 (DEEDS)

• 批准号: 1724728
• 负责人: Ann Christine Catlin
• 金额: $ 345.63万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1724728&HistoricalAwards=false
• 关键词: CIF21; DIBBs; EI; Creating; Digital

This project creates a platform that simplifies knowledge extraction from diverse scientific datasets, by integrating multimodal data, computing software, and interactive tools for search and exploration.  The effort provides a collaborative environment for sharing research data and computational and statistical algorithms.  During research investigations, the environment uploads and organizes data, executes and tracks computational jobs, and connects input and output to analysis results. When investigations are complete, the environment helps publish data, algorithms and investigative workflows for public access. The environment also simplifies the discovery, search, and exploration of published datasets - providing interactive tools for viewing and analyzing data. Four distinct use cases (chemistry, electrical engineering, nutrition science, and environmental science) provide a testbed for platform usability and functionality. The use cases produce important datasets that are intended for use by HHS, USDA, EPA, DOE, and other government agencies to support decision-making about policy and regulations.The project builds upon a 2014 DIBBs pilot demonstration award (#1443017 - DataHub) which created a data management platform for the publishing and discovery of scientific research datasets. The team extends this platform to support the full research investigation process by 1) connecting data to computational and statistical modeling software, 2) tracking research workflows to link data, algorithms, and results, 3) automatically capturing metadata and classifying data by type, and 4) providing interfaces to define complex hierarchical, structured data and operate on the data using analytical toolkits. Published datasets are explored with interactive tools that interpret data types for advanced navigation, viewing, search, analysis, and visualization. Collaborations with research projects in chemistry, electrical engineering, nutrition science, and environmental science produce system requirements and guarantee that the general, discipline-neutral platform provides end-to-end support for their use cases. The project helps researchers curate their own findings, and also facilitates the sharing of data and findings for the purposes of preservation, replication, and extension.

该项目创建了一个平台，通过集成多模式数据、计算软件和用于搜索和探索的交互式工具，简化了从不同科学数据集中提取知识的平台，为共享研究数据以及计算和统计算法提供了协作环境。在研究调查期间，该环境上传和组织数据，执行和跟踪计算作业，并将输入和输出连接到分析结果。当调查完成时，该环境有助于发布数据、算法和调查工作流程以供公众访问。发现、搜索和探索已发布的数据集 - 提供用于查看和分析数据的交互式工具。四个不同的用例（化学、电气工程、营养科学和环境科学）为平台可用性和功能提供了测试平台。供 HHS、USDA、EPA、DOE 和其他政府机构使用的数据集，以支持有关政策和法规的决策。该项目以 2014 年 DIBBs 试点示范奖 (#1443017 - DataHub）创建了一个用于发布和发现科学研究数据集的数据管理平台，该团队通过 1）将数据连接到计算和统计建模软件，2）跟踪研究工作流程以链接数据，扩展了该平台以支持完整的研究调查过程。 、算法和结果，3) 自动捕获元数据并按类型对数据进行分类，4) 提供接口来定义复杂的分层、结构化数据并使用分析工具包对数据进行操作，通过解释数据类型的交互式工具来探索已发布的数据集。先进的与化学、电气工程、营养科学和环境科学领域的研究项目合作产生系统需求，并保证通用的、学科中立的平台为其使用提供端到端支持。该项目帮助研究人员整理自己的发现，并促进数据和发现的共享，以实现保存、复制和扩展。

项目成果

DEEDS: A Next-Generation Scientific Data Sharing and Analyzing Platform for PV Applications

DEEDS：下一代光伏应用科学数据共享和分析平台

• 发表时间: 2020
• 期刊: 47TH IEEE PHOTOVOLTAIC SPECIALISTS CONFERENCE
• 作者: Asadpour, R.;Patel, M.;Catlin, A.C.
• 通讯作者: Catlin, A.C.

The DEEDS platform: Support for integrated data and computing across the research lifecycle

DEEDS 平台：支持整个研究生命周期的集成数据和计算

• DOI: 10.1016/j.future.2019.10.031
• 发表时间: 2020
• 期刊: Future Generation Computer Systems
• 作者: HewaNadungodage, Chandima;Catlin, Ann Christine;Bejarano, Andres;Clark, Steven;Wickramaarachchi, Guneshi;Fernando, Sumudinie;Desigavinayagam, Parameswaran
• 通讯作者: Desigavinayagam, Parameswaran

A Cyberplatform for Sharing Scientific Research Data at DataCenterHub

在 DataCenterHub 上共享科学研究数据的网络平台

• DOI: 10.1109/mcse.2017.3301213
• 发表时间: 2018
• 期刊: Computing in Science & Engineering
• 影响因子: 2.1
• 作者: Catlin, Ann Christine;HewaNadungodage, Chandima;Pujol, Santiago;Laughery, Lucas;Sim, Chungwook;Puranam, Aishwarya;Bejarano, Andres
• 通讯作者: Bejarano, Andres

Lifecycle Support for Scientific Investigations: Integrating Data, Computing, and Workflows

科学调查的生命周期支持：集成数据、计算和工作流程

• DOI: 10.1109/mcse.2019.2901433
• 发表时间: 2019
• 期刊: Computing in Science & Engineering
• 影响因子: 2.1
• 作者: Christine Catlin, Ann;HewaNadungodage, Chandima;Bejarano, Andres
• 通讯作者: Bejarano, Andres