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。在气候科学和全球环境变化方面尤其如此。随着这种演变，数据存储和归档的重要性日益凸显。数字化科学数据的归档存在一个悬而未决的问题，它影响了许多基础科学项目。我们提出了一个开放档案信息系统（OAIS）（2009）兼容的数据档案存储库，它存在于科学研究管道的早期，支持用户已经习惯并有工作人员支持的摄取和访问机制，同时为数据的管理和保存提供支持，并使关系数据库以及最终的其他数据库更便于研究人员和政策制定者实时使用。这一方法的试验台是国际林业资源和机构（IFRI）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数据档案。IFRI的科学用户群体每五年对11个国家的250多个不同地点进行实地访问。建议的存储库在概念上将原始数据库封装到一个单元中，该单元还包含元数据编目和来源收集工具，并由OAIS标准指导进行交互和复制。这项工作中的一个基本研究问题是将数据库模式映射到抽象科学意图的对象模型的数据模型。科学意图的抽象是基于对社会生态系统生命周期及其相互作用和结果进行推理的一般概念模型。因此，我们期望将提供从数据库映射到以本体表示的面向科学的概念模型的工具和数据模型进行推广。国际林业资源和机构网络包括四大洲十个国家的十二个合作研究中心。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，这可能对全球的科学和政策影响具有广泛的潜力。该提案资助一名计算机科学研究生和博士后，他们将在未来几代人中从事新兴重要领域的跨学科研究。要使这项建议的想法取得长期成功，一个关键的组成部分将是传播出去。因此，我们将设法就这些工具和长期数字数据收集项目进行讨论，特别是侧重于环境监测的项目，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.