BCO-DMO: Accelerating Scientific Discovery through Adaptive Data Management

科学研究本质上依赖于数据的创建、管理、分析、综合和解释。数据一旦产生，对于证明科学结果的准确性和再现性至关重要，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，目的是收集、管理和公开服务所有数据和相关产品，这些数据和相关产品是由NSF生物和化学海洋学核心计划和极地计划办公室资助的赠款产生的。BCO-DMO提供来自几个大中型项目的湖泊和海洋化学、生物和物理数据清单，以及支持跨学科合作的单一调查员项目，以解决随着气候变化速度加快而加剧的紧迫环境问题、问题和挑战。BCO-DMO致力于数据管理能力建设工作，通过教育、培训和外联，提高数据素养，并增加对数据管理主题的科学参与。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的数据管理交叉授粉。BCO-DMO的目标是促进其不同数据集的整合，使研究人员能够对海洋生态和生物地球化学系统有更深入的了解。作为一个领域储存库，BCO-DMO增加了数据的价值并改善了数据的互操作性，以支持合成和建模等活动，并为新的研究重复使用海洋数据。对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用于实地决策支持、与政策相关的问题和教育目的的研究质量数据。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了积极作用，在这些会议和讲习班上制定和采用了标准。BCO-DMO还参与了开源、基于标准的技术的开发和使用，这些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，以应对与大数据革命相吻合的演变变化。利用数据语义，BCO-DMO将构建可持续运行自适应数据存储库的知识图。该基础设施将支持数据集级和存储库级指标、改进的数据提交体验以及新的数据和元数据访问功能。通过声明性工作流程，对提交的数据的处理将提高效率，并产生可操作的来源记录，以完全透明地处理数据管理做法。从教育、外展和社区参与的整体角度来看，将制定正式的计划，以促进数据重复使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智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.