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

CIF21 DIBBs：建立湖泊科学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一般科学正在被可用于分析的空前数量和多样性的时空数据所改变。大量新的传感器和实验技术正在推动这一数据洪流。虽然人们了解科学的变革潜力，但管理从收集到分析的数据流的现实，特别是与其他数据、见解、教育和推广的整合，并没有跟上步伐。数据存档、发布和共享的方法是连续的：从技术技能有限的单个研究者，或对存档或共享数据兴趣有限的个人，到具有IT（信息技术）部门的高度结构化的生态观测站，其明确目标是将数据存档，并使未参与采样的研究人员（例如NEON）可以访问。像GLEON（全球湖泊生态观测网络）这样的草根组织与没有主要IT支持的单一研究者方法有许多相似之处，但认识到数据共享是回答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大规模破坏等紧迫研究问题的强制性第一步。建议与投资于环境观测数据管理领域的其他团体合作，并制定一个数据发布和共享系统的设计和实施计划，该系统不仅将处理GLEON？美国的需求，以及那些发现自己在概述的数据管理连续体中处于类似位置的环境研究社区的需求，这种情况越来越多。我们将利用GLEON？我们的方法将主要基于在原型设置中部署和测试由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，社区成员对现有技术的原型和测试将为技术的原始创建者提供有价值的反馈。其次，最重要的是，通过我们的努力，我们的社区将制定一个数据发布和共享系统的设计和实施计划，该系统不仅构思良好，可持续发展，而且由我们的社区成员拥有和管理，可能由数十个，甚至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性和多元文化的基层组织，基于公认的合作需求，这在当前和未来的环境研究方法中是非常典型的。因此，考虑到这些研究方法的典型方面的社区级数据发布和共享设计和实施计划将有利于许多其他国际基层研究和教育合作，并且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、购买、信任、适当的信用，以及最后但并非最不重要的可用性。最后，在评价阶段，许多研究人员和学生将接触和训练使用他们目前可以获得的技术，即使最后认为这种技术并不适合整个社区。

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.