NSF NSF Geo-Data Informatics: Exploring the Life Cycle, Citation and Integration of Geo-Data

这次讲习班的目的是解决网络基础设施的复杂性和有效利用技术来提高地球科学界的生产力和能力。以研讨会、咨询委员会和政府机构的大量报告书目为基础，这次研讨会的重点将放在三个主要领域：1)发展和培育实践社区。确定和鼓励在网络基础设施中使用标准，例如使用面向服务的软件来获取和使用数据，这些标准将在今后很长一段时间内支持跨学科工作(例如，地球科学研究人员已经采用的地理信息系统标准)。人们认识到，地球科学内部的不同群体将使用各种方法。然而，如果技术历史提供了任何指导，这些标准以及它们之间的互操作性将随着时间的推移而改进。重要的是，地球科学界影响着在更多样化的社区中广泛使用的标准的制定。开发有效的方法来影响标准和实践将使地球科学受益。2)解决数据的整个生命周期问题。美国国家科学基金会的数据政策鼓励研究人员和教育工作者共享数据。最近向国家科学基金会提交的每个项目提案都实施了必要的数据管理计划，这鼓励社区考虑在赠款期间产生的数据的整个生命周期。生命周期范例有几种方法，社区做法的采用、所用技术的选择以及伙伴关系的发展都会影响整个数据生命周期的实施。3)共生伙伴关系。与联邦机构、国际组织、非政府组织和业界的伙伴关系对于地球科学的长期成功至关重要。国家科学基金会支持的许多地球科学界依赖于其他实体收集、开发和鼓励的数据、软件和实践。例如，美国地质勘探局、美国国家海洋和大气局和美国国家航空航天局提供的数据在许多美国国家科学基金会资助的研究活动中是非常有价值的。然而，研究界对国内和国际机构和组织的全部价值尚未实现，因为共生互动尚未充分发挥其潜力。研讨会的主要成果将是向美国国家科学基金会和美国地质调查局(研讨会的联合召集人)提交的实地报告？S的能力和需求，进而可能最终受益于一系列以学术为中心的社区开发活动。其他交付成果将包括：(A)在地理数据信息学及其优先事项方面，评估和查明技术和教育方面的差距；(B)重大挑战机会以及立即采取的下一步行动；以及(C)确定其他利益攸关方和纳入其投入的手段。如果这次研讨会成功地确定了以下方面的发展方向：社区网络基础设施实践、考虑数据生命周期的文化以及互惠伙伴关系的范例，那么跨部门和跨学科研究的基础将大大增强。

The purpose of this workshop is to address the complexities of cyberinfrastructure and effective use of technology to increase the productivity and capabilities of the geosciences community. Building on a substantial bibliography of reports from workshops, advisory committees, and government agencies, the focus of this workshop will be in three principle areas:1) Develop and nurture a community of practice. Identifying and encouraging the use standards in cyberinfrastructure, such as use of SOAs for access and use of data, that will support trans-disciplinary work well into the future (e.g. GIS standards that have been adopted by geosciences researchers). It is recognized that there will be a variety of approaches used by different groups within geosciences. However, these standards, and interoperability among them, will improve over time, if technology history provides any guidance. It is important the geosciences community influence the development of standards that are widely used in more diverse communities. Developing effective methods to influence standards and practices will benefit the geosciences. 2) Address the full lifecycle of data. NSF data policy encourages researchers and educators to share data. The recent implementation of a required data management plan for each project proposal submitted to NSF encourages the community to consider the full lifecycle of data that is generated during a grant. There are several approaches to lifecycle paradigms and adoption of community practices, the choice of technology employed, and the development of partnerships all influence the implementation of the full lifecycle of data. 3) Symbiotic partnerships. Partnerships with Federal agencies, international organizations, non-governmental organizations, and industry are essential for the long-term success of the geosciences. Much of the geosciences community supported by NSF depends on data, software, and practices gathered, developed and encouraged by other entities. For example, data provided by USGS, NOAA, and NASA are invaluable in the conduct of many NSF supported research activities. However, the full value of the research community to the agencies and organizations nationally and internationally has yet to be realized because symbiotic interactions have not been developed to their full potential.The principal deliverable from the workshop will be a state-of-the-field report to NSF and the USGS (a co-convener of the workshop) of the geoinformatics community?s capabilities and needs that could in turn ultimately benefit from an academic-multi-agency community-focused set of development activities. Additional deliverables would include: a) readiness assessment and identification of gaps for both technology and education around geo-data informatics and their priorities;;b) grand challenge opportunities as well as immediate next steps; and c) Identification of additional stakeholders and means to include their inputs. If this workshop is successful in setting directions for the development of: community cyberinfrastructure practices, a culture of consideration for the lifecycle of data, and paradigms for mutually beneficial partnerships, then the foundation for cross-directorate and trans-disciplinary research will be greatly enhanced.