EAGER: Collaborative Research: Conceptualizing sustained environmental information management in the landscape of current and emerging eco-informatics infrastructure

EAGER：协作研究：在当前和新兴生态信息学基础设施的背景下概念化持续的环境信息管理

• 批准号: 1500306
• 负责人: Corinna Gries
• 金额: $ 13.97万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1500306&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Conceptualizing; sustained

The data generated by environmental research are highly valuable, not only because of the cost of research but also because they are irreplaceable and needed for understanding change. A major challenge for all research entities is the management of this digital asset and associated information for maintaining its value. This challenge is complex in nature, covering not only the collection and storage of data, but also the creation of relevant (and sufficient) information about the data (metadata), such that they can be re-used broadly. Several environmental data repositories and data management approaches have been developed over the past few years. It is now time to seek input from researchers in the role of data authors and data re-users and data managers, to expansively explore the current operating environment, potential collaboration opportunities, efficiencies of scale, and future community needs for this challenge to be addressed effectively. An initial workshop will allow these stakeholders to share their expertise, experience and future requirements with their colleagues. The output from this initial exercise will then feed into a second session, which will result in strategic recommendations detailing the activities needed to create a collaborative and efficient data management infrastructure capable of supporting future environmental science research endeavors. Most current environmental data repositories fulfill specific needs or objectives, i.e., archiving and disseminating data from a project, network of research sites, institution, a specific funding source, or to accompany paper publications. Envisioning a sustained Scientific Data Infrastructure (SDI), and with the goal of providing high quality data to researchers, policy makers and the general public, this project concentrates on data repositories and current curation practices as an integral part of this vision. Within this scope and in the context of environmental research data management, original goals and objectives of single repositories will be re-evaluated, efficiencies of scale identified, a cost-benefit analyses for some centralized services attempted, and new, sustainable collaborations conceptualized. Specifically, data curators from a range of environmental research fields, data aggregators, tool developers, computer scientists and environmental scientists (both data providers and users) will be brought together for an informed dialog which draws on this broad collective experience. A preliminary information-gathering phase will describe the characteristics of each repository to inform the discussion at two subsequent community workshops. The first workshop will identify new collaboration and curation strategies that also cater to the currently underserved single investigators and move environmental data from "available" to "usable", in order to accelerate scientific inquiry. The second workshop will examine these strategies further, and develop one or more alternative, community-vetted roadmaps for research information management with the goal of more efficiently and sustainably utilizing NSF investments. In summary, these workshops will produce a strategic implementation plan outlining one or more options for a sustained environmental data management infrastructure capable of accelerating scientific inquiry, serve all contributing investigators (data producers) and provide the basis for education and outreach activities in a cost effective approach. Data management needs are fairly well understood. Organizational, personnel and management structures are not. Hence, the plan will focus on these challenges while also considering workforce development. A website for this project will be established at http://sedicollaborative.org.

环境研究产生的数据非常有价值，这不仅是因为研究成本，而且因为它们是不可替代的，并且需要理解变化。所有研究实体的一个主要挑战是管理该数字资产和相关信息以保持其价值。本质上，这一挑战不仅涵盖了数据的收集和存储，而且还涵盖了有关数据（元数据）的相关（且充分）信息的创建，以便可以广泛地重新使用它们。在过去的几年中，已经开发了几种环境数据存储库和数据管理方法。现在是时候从研究人员那里寻求数据作者，数据重新使用者和数据经理的作用的意见，以广泛探索当前的运营环境，潜在的协作机会，规模的效率以及未来的社区需求，以有效地解决这一挑战。最初的研讨会将使这些利益相关者能够与同事分享他们的专业知识，经验和未来要求。然后，此初始练习的输出将进入第二届会议，这将导致战略建议详细介绍创建协作和有效的数据管理基础架构所需的活动，以支持未来的环境科学研究。大多数当前的环境数据存储库满足了特定的需求或目标，即从项目，研究站点，机构，特定资金来源或陪同纸质出版物的项目网络中归档和传播数据。设想持续的科学数据基础架构（SDI），并为了向研究人员，政策制定者和公众提供高质量的数据，该项目集中在数据存储库和当前的策划实践上，这是该愿景不可或缺的一部分。在此范围内和环境研究数据管理的背景下，将重新评估单个存储库的原始目标和目标，确定的规模效率，对尝试的某些集中式服务的成本效益分析以及概念化的新的，可持续的合作。具体而言，来自各种环境研究领域，数据聚合商，工具开发人员，计算机科学家和环境科学家（数据提供商和用户）的数据策展人将聚集在一起，以借助这一广泛的集体经验。初步的信息收集阶段将描述每个存储库的特征，以在随后的两个社区研讨会上告知讨论。第一个研讨会将确定新的合作和策略，这些策略也适合当前服务不足的单一研究人员，并将环境数据从“可用”移至“可用”，以加速科学询问。第二个研讨会将进一步研究这些策略，并开发一个或多个替代社区审查的路线图，以进行研究信息管理，以更有效，可持续地利用NSF投资。总而言之，这些研讨会将制定一项战略实施计划，概述一个或多个选项，用于持续的环境数据管理基础设施，能够加速科学询问，为所有贡献者（数据生产者）服务，并以成本有效的方法为教育和外展活动提供基础。数据管理需求相当理解。组织，人员和管理结构不是。因此，该计划将重点关注这些挑战，同时也考虑劳动力发展。该项目的网站将在http://sedicollaborative.org上建立。