EAGER: In-situ archiving of digital scientific data

科学界越来越多地采用多方法方法进行科学探索，越来越依赖于计算方法。气候科学和全球环境变化尤其如此。随着这种演变，数据存储和归档的重要性也随之而来。在归档数字科学数据方面有一个开放的问题，它影响了许多基础科学计划。我们提出了一个开放式档案信息系统（OAIS）（2009）兼容的数据档案存储库，该存储库早期存在于科学研究管道中，支持用户已经习惯并有工作人员支持的摄取和访问机制，同时为数据的策展和保存提供支持，并使关系数据库，并最终成为其他数据库，研究人员和政策制定者在真实的时间里更有用。这一方法的试验平台是国际林业资源和研究所数据库，这是关于社区如何制定可持续森林管理战略的最完整的数据档案。IFRI科学用户社区每五年对11个国家的250多个不同站点进行实地访问。拟议的存储库在概念上将原始数据库包装成一个单元，其中还包含元数据目录和出处收集工具，并在OAIS标准的指导下进行交互和复制。一个基本的研究问题，在这方面的努力是数据模型，映射到一个抽象的科学意图的对象模型的数据库模式。 科学意图的抽象基于一个一般概念模型，用于推理社会生态系统的生命周期及其相互作用和结果。因此，我们希望推广的工具和数据模型，提供地图从数据库到面向科学的概念模型表示为ontology.The国际林业资源和机构网络包括12个合作研究中心在四大洲的10个国家。在这个项目中进行的早期研究将为通过IFRI进行的推广奠定基础，这可能对世界各地的科学和政策产生广泛的影响。该提案资助一名计算机科学研究生和博士后研究员，他们将在未来几代人中从事一个新兴重要领域的跨学科研究。因此，我们将努力介绍有关这些工具的讲座，并探讨长期的数字数据收集项目，特别是那些专注于环境监测的项目，如LTER和OOI。

The science community has increasingly employed multi-method approaches to scientific exploration with an increasing reliance on computational methods. This is particularly the case with the science of climate and global environmental change. With this evolution has come the fundamental importance of data storage and archiving. There is an open problem in archiving digital science data that affects many fundamental science initiatives. We propose an Open Archival Information System (OAIS) (2009) compliant data archival repository that lives early in the scientific research pipeline, supporting the ingest and access mechanisms that users have become accustomed to and have staff to support, while simultaneously providing support for curation and preservation of data, and making relational database, and eventually other databases, more usable in real time by researchers and policy makers. The testbed for this approach is the International Forestry Resources and Institutions (IFRI) database, the most complete data archive of how communities develop strategies for sustainable forest management. The IFRI scientific user community consists of field visits every five years to over 250 diverse sites in 11 countries.The proposed repository conceptually wraps the original database into a unit that also contains a metadata catalog and provenance collection tool with interaction and replication guided by the OAIS standard. A fundamental research question in this effort is the data model that maps a database schema to an object model which abstracts scientific intent. The abstraction of scientific intent is grounded in a general conceptual model for reasoning about the life cycle of social-ecological systems and their interactions and outcomes. We thus expect to generalize the tools and data model that provide the map from a database to the science-oriented conceptual model expressed as an ontology.The International Forestry Resources and Institutions network includes twelve Collaborating Research Centers in ten countries on four continents. The early research conducted in this project will form a foundation for outreach through IFRI that could have broad potential for science and policy impacts worldwide. The proposal funds a computer science graduate student and postdoctoral fellow who will be engaged in interdisciplinary research in an area of emerging importance in the next many generations.A critical component of the long term success of the ideas of this proposal will be by getting word out. Therefore we will seek to present talks about these tools and approach long-term digital data collection projects, particularly ones focused on environmental monitoring such as LTER and OOI.