People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks
People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks
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人员、基础设施和数据：通往包容性和多元化的网络生态网络的途径
DOI：
10.1002/ecs2.4262
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发表时间：
2022
期刊：
影响因子：
2.7
通讯作者：
Mitchell, Jessica J.
中科院分区：
文献类型：
--
作者：
SanClements, Michael D.;Record, Sydne;Rose, Kevin C.;Donnelly, Alison;Chong, Steven S.;Duffy, Katharyn;Hallmark, Alesia;Heffernan, James B.;Liu, Jianguo;Mitchell, Jessica J.
宏观系统规模的研究得到了许多人，基础设施和数据的生态网络的支持。然而，没有一个网络足以解决所有的宏观系统生态学研究问题，通过跨多个网络进行研究和共享资源可以获得很多。不幸的是，由于所需的专业知识和技能的多样性，以及与数据可重复性，准确性和互操作性相关的问题，跨网络进行宏系统研究具有挑战性。生态和环境科学界可以从现有网络的联网中受益匪浅，以利用过去的研究投资并促进新的合作。在这里，我们描述了需要一个“网络的网络”（NoN）的方法来进行宏观系统生态研究，并阐明了与这种努力相关的挑战和潜在的好处。我们描述了“大数据”生态的数量、速度和种类的快速增长所带来的挑战，并强调了NoN如何建立在组件网络的成功和创造力的基础上，同时也认识到并改进了过去的失败。我们认为，一个NoN的方法需要仔细规划，以确保它是可访问的和包容性的，包括多模式通信和互动的方式，支持创建，测试和颁布的社区标准，并确保个人和团体获得适当的信贷为他们的贡献。此外，NoN必须认识到网络架构中的重要权衡，包括人员、基础设施和数据的集中程度如何影响网络的可扩展性和创造力。如果仔细和周到地实施，NoN有可能以高效，包容和公平的方式大大提高我们对广泛的时空尺度上的生态过程，特征和轨迹的理解。
Macrosystem‐scale research is supported by many ecological networks of people, infrastructure, and data. However, no network is sufficient to address all macrosystems ecology research questions, and there is much to be gained by conducting research and sharing resources across multiple networks. Unfortunately, conducting macrosystem research across networks is challenging due to the diversity of expertise and skills required, as well as issues related to data discoverability, veracity, and interoperability. The ecological and environmental science community could substantially benefit from networking existing networks to leverage past research investments and spur new collaborations. Here, we describe the need for a “network of networks” (NoN) approach to macrosystems ecological research and articulate both the challenges and potential benefits associated with such an effort. We describe the challenges brought by rapid increases in the volume, velocity, and variety of “big data” ecology and highlight how a NoN could build on the successes and creativity within component networks, while also recognizing and improving upon past failures. We argue that a NoN approach requires careful planning to ensure that it is accessible and inclusive, incorporates multimodal communications and ways to interact, supports the creation, testing, and promulgation of community standards, and ensures individuals and groups receive appropriate credit for their contributions. Additionally, a NoN must recognize important trade‐offs in network architecture, including how the degree of centralization of people, infrastructure, and data influence network scalability and creativity. If implemented carefully and thoughtfully, a NoN has the potential to substantially advance our understanding of ecological processes, characteristics, and trajectories across broad spatial and temporal scales in an efficient, inclusive, and equitable manner.
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