Publication Workflows for Scientific Data: From Acquisition and Processing toward Archival and Publication
科学数据的出版工作流程:从采集和处理到归档和出版
基本信息
- 批准号:187867195
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research data and software (Scientific Library Services and Information Systems)
- 财政年份:2011
- 资助国家:德国
- 起止时间:2010-12-31 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Objective of the second phase is to extend the approach and the pilot application for a workflow-based semi-automatic publication framework of the first phase, and to apply it in additional application domains. In the first phase, our primary application domain was marine science. In the second phase, we intend to extend our application domain toward life science. For extending our application domain toward life science, we will collaborate with the ¿Zentrum für Molekulare Biowissenschaften (ZMB)¿ at CAU Kiel and the ¿Institut für Klinische Molekularbiologie (IKMB)¿ at CAU Kiel to elaborate and apply the proven approach from marine science on workflows in genomics. Applying the PubFlow system in another application domain (here: life science) also serves to test the flexibility of the PubFlow architecture. Furthermore, we intend to extend the existing pilot application with additional steps in the life cycle of datasets. Besides extending the existing workflows, we intend to collaborate with the world data center MARE (PANGAEA) on supporting and evaluating semi-automatic workflow support for data curation processes. In particular, we intend to devise, implement and evaluate new approaches to provenience data acquisition in order to allow for retracing and verifying the life cycle of datasets. New methods and techniques for provenience data exchange are required. Through establishing new librarian services for research data, the university library will take a responsible role as a full partner in PubFlow. The intended work on establishing new librarian services for research data are based on ideas that arose during the first project phase with the project partners and the advisory board. For assuring the rules of good scientific practice, verifying the provenience of research data may play a crucial role. Thus, we intend to extend and evaluate our previous work on workflow-generated provenience data. With the ¿Leibniz Information Centre for Economics¿ (ZBW) as associated partner, we intend to investigate approaches of linked data to link primary research data with provenience information. For the dissemination of our research results, we again plan annual PubFlow workshops.
第二阶段的目标是扩展第一阶段基于工作流的半自动出版框架的方法和试点应用,并将其应用于更多的应用领域。在第一阶段,我们的主要应用领域是海洋科学。在第二阶段,我们打算将我们的应用领域扩展到生命科学。为了将我们的应用领域扩展到生命科学,我们将与CAU KIER的ZMB生物信息学中心(ZMB)和CAU KIIR的Klinische Molekularbiologie(IKMB)研究所合作,详细阐述和应用来自海洋科学的成熟方法在基因组学工作流程中的应用。在另一个应用领域(这里:生命科学)中应用PubFlow系统也是为了测试PubFlow架构的灵活性。此外,我们打算在数据集的生命周期中增加其他步骤来扩展现有的试点应用程序。除了扩展现有的工作流程外,我们还打算与世界数据中心MARE(Pangaea)合作,支持和评估数据管理流程的半自动工作流支持。特别是,我们打算设计、实施和评价获取产地数据的新方法,以便能够追溯和核实数据集的生命周期。需要新的方法和技术来交换物证数据。通过为研究数据建立新的馆员服务,大学图书馆将作为PubFlow的全面合作伙伴发挥负责任的作用。为研究数据建立新的图书管理员服务的计划工作是基于在项目第一阶段与项目伙伴和咨询委员会提出的想法。为了确保良好的科学实践规则,验证研究数据的出处可能起到至关重要的作用。因此,我们打算扩展和评估我们之前在工作流生成的证据数据方面的工作。与莱布尼茨经济信息中心(ZBW)作为联合伙伴,我们打算研究关联数据的方法,将主要研究数据与产地信息联系起来。为了传播我们的研究成果,我们再次计划每年一次的PubFlow研讨会。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Wilhelm Hasselbring其他文献
Professor Dr. Wilhelm Hasselbring的其他文献
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{{ truncateString('Professor Dr. Wilhelm Hasselbring', 18)}}的其他基金
Domain-Specific Languages for Ocean Modeling and Simulation
用于海洋建模和仿真的特定领域语言
- 批准号:
425916241 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Research Grants
Integrated Observation and Modeling Techniques to Support Adaptation and Evolution of Software Systems
支持软件系统适应和演化的集成观测和建模技术
- 批准号:
221686643 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Priority Programmes
ScalableMine: Scalable Hierarchical Process Mining in Event-Stream Systems
ScalableMine:事件流系统中的可扩展分层流程挖掘
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521430520 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Units
Sustaining a Reusable High-Quality Monitoring Framework for Software Engineering Research
为软件工程研究维持可重用的高质量监控框架
- 批准号:
528713834 - 财政年份:
- 资助金额:
-- - 项目类别:
Research Grants
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