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BCO-DMO: Accelerating Scientific Discovery through Adaptive Data Management

BCO-DMO：通过自适应数据管理加速科学发现

基本信息

批准号：
1924618
负责人：
Mak Saito
金额：
$ 1158.1万
依托单位：
Woods Hole Oceanographic Institution
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1924618&HistoricalAwards=false
关键词：
BCO DMO Accelerating Scientific Discovery

项目摘要

Scientific research is intrinsically reliant upon the creation, management, analysis, synthesis, and interpretation of data. Once generated, data are essential to demonstrating the veracity and reproducibility of scientific results, and existing data hold great potential to accelerate scientific discovery through reuse. The Biological and Chemical Oceanography and Data Management Office (BCO-DMO) was created in 2006 to assemble, curate, and publicly serve all data and related products resulting from grants funded by the NSF core programs for Biological and Chemical Oceanography, and Office of Polar Programs. BCO-DMO provides limnological and marine chemical, biological, and physical data inventories from several large and intermediate-sized programs, as well as single-investigator projects to support cross-disciplinary collaboration to address pressing environmental questions, problems, and challenges that are exacerbated with the increasing pace of climate change. BCO-DMO is committed to data management capacity building efforts, improving data literacy and increasing science engagement in data management topics through education, training, and outreach. The project collaborates with academic institutions and teachers, where the BCO-DMO database is leveraged for oceanographic curricula, and engages in targeted training of informatics students, cross-pollinating their knowledge with geoscience domain data management.BCO-DMO's goal is to facilitate the integration of its diverse datasets to enable researchers to achieve a deeper understanding of ocean ecological and biogeochemical systems. As a domain repository, BCO-DMO adds value and improves interoperability of data to support activities such as synthesis and modeling, and the reuse of oceanographic data for new research. Open access to the BCO-DMO database lowers barriers to allow economically challenged countries to gain access to research quality data for field decision support, policy-relevant issues, and educational purposes. The project takes an active role in the exchange of knowledge at national and international geoscience and informatics meetings and workshops, where standards development and adoption occur. BCO-DMO also participates in the development and use of open-source, standards-based technologies that enable interoperable data systems to exchange data and information that will foster next-generation research in all disciplines. While continuing to perform its core mission of data management, BCO-DMO will reconstitute its data infrastructure to mobilize a new adaptive data management strategy for addressing the evolutionary change coinciding with the big data revolution. Leveraging data semantics BCO-DMO will construct a knowledge graph for sustainably operating an adaptive data repository. This infrastructure will support dataset-level and repository-level metrics, an improved data submission experience and new data and metadata access capabilities. Through declarative workflows, the processing of contributed data will increase in efficiency, and result in actionable provenance records for complete transparency of data curation practices. Taking a holistic perspective on education, outreach and community engagement, formalized programs will be developed to promote data reuse and interest in oceanographic science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

科学研究本质上依赖于数据的创建、管理、分析、综合和解释。数据一旦生成，对于证明科学结果的准确性和可重复性至关重要，现有数据具有通过重复使用加速科学发现的巨大潜力。生物和化学海洋学和数据管理办公室（BCO-DMO）成立于2006年，负责收集、管理和公开服务由NSF生物和化学海洋学核心项目和极地项目办公室资助的所有数据和相关产品。BCO-DMO提供来自几个大型和中型项目的湖沼学和海洋化学，生物和物理数据清单，以及支持跨学科合作的单一研究者项目，以解决紧迫的环境问题，问题和挑战，这些问题随着气候变化的步伐越来越快而加剧。BCO-DMO致力于数据管理能力建设工作，提高数据素养，并通过教育，培训和推广增加科学参与数据管理主题。该项目与学术机构和教师合作，将BCO-DMO数据库用于海洋学课程，并对信息学学生进行有针对性的培训，将他们的知识与地球科学领域数据管理交叉融合，BCO-DMO的目标是促进其多样化数据集的整合，使研究人员能够更深入地了解海洋生态和海洋地球化学系统。作为一个领域知识库，BCO-DMO增加了价值，提高了数据的互操作性，以支持合成和建模等活动，并将海洋学数据重新用于新的研究。BCO-DMO数据库的开放访问降低了障碍，使经济困难的国家能够获得高质量的研究数据，用于现场决策支持，政策相关问题和教育目的。该项目在国家和国际地球科学和信息学会议和讲习班上交流知识方面发挥积极作用，在这些会议上制定和通过标准。BCO-DMO还参与开发和使用基于标准的开源技术，使可互操作的数据系统能够交换数据和信息，从而促进所有学科的下一代研究。在继续履行其数据管理核心使命的同时，BCO-DMO将重组其数据基础设施，以调动新的适应性数据管理战略，应对与大数据革命同时发生的演变。利用数据语义BCO-DMO将构建一个知识图，用于可持续地运行自适应数据存储库。这一基础设施将支持数据库一级和储存库一级的衡量标准、改进的数据提交体验以及新的数据和元数据访问能力。通过声明性工作流，贡献数据的处理将提高效率，并产生可操作的来源记录，以实现数据管理实践的完全透明。从教育、外展和社区参与的整体角度出发，将制定正式的计划，以促进数据重用和对海洋科学的兴趣。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。