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Collaborative Research: SEI+II ProtocolDB: Archiving and Querying Scientific Protocols, Data and Provenance

Collaborative Research: SEI+II ProtocolDB: Archiving and Querying Scientific Protocols, Data and Provenance
合作研究:SEI II ProtocolDB:归档和查询科学协议、数据和来源
批准号:
0612273
负责人:
Zoe Lacroix
金额:
$48.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-08-15 至 2012-07-31

项目摘要

项目成果

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中文摘要
翻译
该项目正在解决科学研究中的一个系统性问题:尽管通过科学协议收集的数据集可能被适当地存储,但协议本身通常只记录在纸上或以电子方式存储为实现协议而开发的脚本。一旦实施该方案的科学家离开实验室,该记录可能会丢失。如果没有对产生数据的过程的描述,所收集的数据集将变得毫无意义;此外,为产生数据而设计的实验是不可重复的。本研究正在开发一个数据库(ProtocolDB)来管理科学协议及其执行过程中收集的数据集。该方法将允许科学家查询、比较和修改协议,并跨协议和数据表达查询。该研究还解决了记录和查询数据来源(为什么和在哪里)的问题。ProtocolDB将为实验室提供一个科学组合,使科学家受益,它不仅可以查询和推理协议、执行协议和收集的数据集,还可以实现团队之间的数据共享和协作。该研究的智能优点包括设计了一个科学工作流模型,以及用于检索、转换、比较科学工作流、集成数据集和对数据来源进行推理的查询语言。这一理论贡献将在支持科学协议表达的系统发展方面取得进展。协议数据库的实施将由我们的科学合作伙伴进行评估。该项目产生的更广泛的影响是开发了一个通用系统,用于管理科学协议及其收集的数据集。包括学术、政府和私人机构在内的已建立的合作将大大促进其使用的广度。
英文摘要
This project is addressing a systemic problem in scientific research: although datasets collected through scientific protocols may be properly stored, the protocol itself is often only recorded on paper or stored electronically as the script developed to implement the protocol. Once the scientist who has implemented the protocol leaves the laboratory, this record may be lost. Collected datasets become meaningless without a description of the process used to produce them; furthermore, the experiment designed to produce the data is not reproducible. This research is developing a database (ProtocolDB) to manage scientific protocols and the collected datasets obtained from their execution. The approach will allow scientists to query, compare and revise protocols, and express queries across protocols and data. The research is also addressing the issue of recording and querying the provenance (the why and where) of data. ProtocolDB will benefit scientists by providing a scientific portfolio for the laboratory which not only enables querying and reasoning about protocols, executions of protocols and collected datasets, but enables data sharing and collaborations between teams.The intellectual merit of the research includes the design of a model for scientific workflows, and a query language to retrieve, transform, compare scientific workflows, integrate datasets, and reason about data provenance. This theoretical contribution will establish advances in the development of systems supporting the expression of scientific protocols. The ProtocolDB implementation will be evaluated by our scientific partners. The broader impact resulting from the project is the development of a general-purpose system for managing scientific protocols and their collected datasets. The established collaborations, involving academic, governmental, and private institutions, will contribute significantly to the breadth of its use.
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