Integrated Data management

综合数据管理

• 批准号: 43905590
• 负责人: Professor Dr. Christian Wirth
• 金额: --
• 依托单位: Deutsches Zentrum für integrative Biodiversitätsforschung (iDiv)
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2008
• 资助国家: 德国
• 起止时间: 2007-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/43905590?language=en
• 关键词: Integrated; Data; management

In biodiversity–ecosystem functioning (BEF) research, both the predictor – biodiversity – and the dependent variables – ecosystem functions and services – represent complex concepts. The data needed to establish BEF relationships are themselves highly heterogeneous and are typically generated by collaborative, interdisciplinary research consortia assembling expertise from various disciplines ranging from molecular ecology to remote sensing. The prominent challenges in providing quality data for scientists in BEF research are (1) the provision of appropriate metadata to understand the primary data (2) the agreement of scientists to adhere to the same naming conventions across their data sets, and (3) the confidence of scientists that the use of their data is transparent and fair. In the previous phase Z2 has developed a scalable web application, BEFdata, that meets all three challenges. BEFdata became fully functional and is now available as open source for other collaborative projects. At the same time, we continued to support data curation and synthesis. In the next phase, we will continue our service and will enhance the use of the data portal by teaching data management in workshops. We will place a focus on improving metadata quality and provision by providing help in data annotation and quality checking but also by improving functionalities to exchange metadata between repositories and statistical environments. We will steer and facilitate the process of assembling a controlled vocabulary for data validation and complex searches and will provide functionality for scientific workflows to generate tailor-made and quality-controlled synthesis datasets for the research unit and develop functionality to export these datasets to EML-based global data repositories.

在生物多样性-生态系统功能（BEF）研究中，生物多样性这一预测变量和生态系统功能和服务这一因变量都是复杂的概念。建立BEF关系所需的数据本身是高度异质性的，通常是由协作的跨学科研究联盟收集从分子生态学到遥感等各个学科的专业知识而产生的。在BEF研究中为科学家提供高质量数据的主要挑战是（1）提供适当的元数据以理解原始数据（2）科学家同意在其数据集上遵守相同的命名约定，以及（3）科学家对使用其数据的信心是透明和公平的。在前一阶段，Z2开发了一个可扩展的Web应用程序BEFdata，它可以满足所有三个挑战。BEFdata功能齐全，现在可作为其他合作项目的开源。与此同时，我们继续支持数据管理和综合。在下一阶段，我们将继续我们的服务，并将通过在工作坊中教授数据管理来加强数据门户的使用。我们将把重点放在提高元数据质量和提供，在数据注释和质量检查方面提供帮助，并改进储存库和统计环境之间交换元数据的功能。我们将引导和促进组装数据验证和复杂搜索的受控词汇表的过程，并将为科学工作流程提供功能，为研究单位生成量身定制和质量控制的综合数据集，并开发将这些数据集导出到基于EML的全球数据库的功能。