Managing data locally to answer questions globally: The role of collaborative science in ecology,Journal of Vegetation Science

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Managing data locally to answer questions globally: The role of collaborative science in ecology
Journal of Vegetation Science ( IF 2.2 ) Pub Date : 2020-04-03 , DOI: 10.1111/jvs.12864
Isabelle Aubin ₁ , Françoise Cardou _{1,

2} , Laura Boisvert‐Marsh ₁ , Eric Garnier ₃ , Manuella Strukelj ₄ , Alison D. Munson ₄

Affiliation

Ecologists are increasingly asking large‐scale and/or broad‐scope questions that require vast datasets. In response, various top‐down efforts and incentives have been implemented to encourage data sharing and integration. However, despite general consensus on the critical need for more open ecological data, several roadblocks still discourage compliance and participation in these projects; as a result, ecological data remain largely unavailable. Grassroots initiatives (i.e. efforts initiated and led by cohesive groups of scientists focused on specific goals) have thus far been overlooked as a powerful means to meet these challenges. These bottom‐up collaborative data integration projects can play a crucial role in making high quality datasets available because they tackle the heterogeneity of ecological data at a scale where it is still manageable, all the while offering the support and structure to do so. These initiatives foster best practices in data management and provide tangible rewards to researchers who choose to invest time in sound data stewardship. By maintaining proximity between data generators and data users, grassroots initiatives improve data interpretation and ensure high‐quality data integration while providing fair acknowledgement to data generators. We encourage researchers to formalize existing collaborations and to engage in local activities that improve the availability and distribution of ecological data. By fostering communication and interaction among scientists, we are convinced that grassroots initiatives can significantly support the development of global‐scale data repositories. In doing so, these projects help address important ecological questions and support policy decisions.

中文翻译：

在本地管理数据以在全球范围内回答问题：协作科学在生态中的作用

生态学家越来越多地询问需要大量数据集的大规模和/或广义问题。作为响应，已采取了各种自上而下的努力和激励措施来鼓励数据共享和集成。然而，尽管人们普遍认为迫切需要更开放的生态数据，但仍有一些障碍阻碍了遵守和参与这些项目。结果，生态数据在很大程度上仍然不可用。迄今为止，草根倡议（即由专注于特定目标的凝聚力强大的科学家团体发起和领导的努力）被视为应对这些挑战的有力手段。这些自下而上的协作数据集成项目在提供高质量数据集方面可以发挥至关重要的作用，因为它们可以在仍可管理的范围内解决生态数据的异质性，同时提供支持和结构。这些举措促进了数据管理方面的最佳实践，并为选择将时间投入合理的数据管理工作的研究人员提供了切实的回报。通过保持数据生成器和数据用户之间的距离，基层计划可以改善数据解释并确保高质量的数据集成，同时为数据生成器提供公平的认可。我们鼓励研究人员正式开展现有合作，并参与改善生态数据可用性和分布的本地活动。通过促进科学家之间的交流和互动，我们深信基层计划可以极大地支持全球规模数据存储库的开发。在这样做，

更新日期：2020-04-03

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