CIF21 DIBBs: Building International Data Sharing Capacity in Lake Sciences, with Implications for the Broader Environmental Science Community

CIF21 DIBB：建设湖泊科学国际数据共享能力，对更广泛的环境科学界产生影响

• 批准号: 1255849
• 负责人: Corinna Gries
• 金额: $ 10.28万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-07-15 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1255849&HistoricalAwards=false
• 关键词: CIF21; DIBBs; Building; International; Data

CIF21 DIBBs: Building international data sharing capacity in lake sciences, with implications for the broader environmental science community Environmental research, and science in general, are being transformed by the unprecedented amount and diversity of spatial and temporal data available for analysis. Hosts of new sensors and experimental techniques are driving this data flood. And while the transformational potential on science is understood, the reality of managing the data flows from collection through to analysis, especially integration with other data, insights, plus education, and outreach has not kept pace. A continuum of approaches exist for data archiving, publishing and sharing: from the single investigator with limited technical skills, or limited personal interest in archiving or sharing data, to the highly structured ecological observatory with an IT (Information Technology) department and the explicit goal of archiving data and making them accessible to researchers who were not involved in the sampling (e.g. NEON). Grassroots organizations like GLEON (the Global Lake Ecological Observatory Network) share many similarities with the single investigator approach without major IT support, but recognize data sharing as a mandatory first step to answer pressing research questions addressing climate and land-use change, diminishing ecosystem services, and large scale disruptions of ecosystem functioning on a global scale. It is proposed to collaborate with other groups invested in the area of environmental observations data management and develop a design and implementation plan for a data publishing and sharing system that will address not only GLEON?s needs but also those of environmental research communities that find themselves in a similar place along the outlined data management continuum, of which there is a growing number. We will leverage GLEON?s experience, organizational structure, community trust, and recognized need for data sharing, Our approach will be primarily based on deploying and testing technology components created by CUAHSI, DataONE, LTER, and DataTurbine in a prototype setting and to assess their applicability in the GLEON community through targeted focus groups. The intellectual merits are twofold. First, prototyping and testing of existing technologies by our community members will provide valuable feedback to the original creators of the technology. Second, and most importantly, through our efforts, our community will develop a design and implementation plan for a data publishing and sharing system that is not only well conceived and sustainable, but owned and manageable by our community members, with potential implementation by dozens, if not hundreds, of ecological observatories. Broader impact: This community is an international and multi-cultural grassroots organization based on the recognized need for collaboration, as very typical in the current and future landscape of environmental research approaches. Therefore, a community level data publishing and sharing design and implementation plan that considers aspects typical for these research approaches will benefit many other international grassroots research and education collaborations, and the approach will be transformational in developing such global infrastructures. Aspects of primary importance are governance, sustainability, buy-in, trust, appropriate credit, and last but not least, usability. Finally, during the evaluation phase many researchers and students will be exposed to and trained in the use of technology that is currently available to them, even if in the end it is not considered appropriate for the entire community.

CIF21 DIBBS：建立湖泊科学方面的国际数据共享能力，对更广泛的环境科学界产生影响环境研究和整个科学正在因可供分析的空间和时间数据前所未有的数量和多样性而发生变化。大量新的传感器和实验技术正在推动这场数据洪流。尽管人们了解科学的变革潜力，但管理数据从收集到分析的现实，特别是与其他数据、见解、加上教育和推广的整合，并没有跟上步伐。数据归档、发布和共享有一系列办法：从技术技能有限或个人对归档或共享数据兴趣有限的单一调查员，到结构严密的生态观测站，设有信息技术(信息技术)部门，明确目标是将数据归档并提供给没有参与抽样的研究人员(例如霓虹灯)。像GLEON(全球湖泊生态观测网络)这样的草根组织与没有重大IT支持的单一调查员方法有许多相似之处，但他们认识到，数据共享是回答紧迫研究问题的强制性第一步，这些问题涉及气候和土地利用变化、生态系统服务减少以及全球范围内生态系统功能的大规模中断。建议与在环境观测数据管理领域投资的其他小组合作，制定数据发布和共享系统的设计和实施计划，不仅满足GLEON？S的需求，还满足环境研究社区的需求，这些社区发现自己在概述的数据管理连续体中处于相似的位置，其中数据管理的数量不断增加。我们将利用GLEON？S的经验、组织结构、社区信任和公认的数据共享需求，我们的方法将主要基于在原型环境中部署和测试由CUAHSI、DataOne、LTER和DataTurbine创建的技术组件，并通过目标焦点小组评估它们在GLEON社区中的适用性。智力上的优点是双重的。首先，我们的社区成员对现有技术的原型和测试将为技术的原始创造者提供宝贵的反馈。第二，也是最重要的是，通过我们的努力，我们的社区将为数据发布和共享系统制定一个设计和实施计划，该系统不仅构思良好、可持续，而且由我们的社区成员拥有和管理，可能由数十个(如果不是数百个)生态观测站实施。更广泛的影响：这个社区是一个国际和多元文化的草根组织，基于公认的合作需求，这在当前和未来的环境研究方法中非常典型。因此，考虑到这些研究方法的典型方面的社区一级数据发布和共享设计和实施计划将使许多其他国际基层研究和教育合作受益，该方法将在发展此类全球基础设施方面具有变革性。最重要的方面是治理、可持续性、买入、信任、适当的信用，最后但同样重要的是可用性。最后，在评估阶段，许多研究人员和学生将接触和培训他们目前可用的技术的使用，即使最终认为这种技术并不适合整个社区。