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Mets552 发表于 2025-3-27 04:22:29

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语源学 发表于 2025-3-27 13:20:17

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闲逛 发表于 2025-3-27 15:46:46

https://doi.org/10.1007/978-3-322-91763-8d the content exposed by data aggregators. Chapter . describes these various search approaches and presents seven best practices that can promote data discovery and reuse. It further emphasizes the need for data products to be uniquely identifiable and attributable to the data originators who must also be uniquely identifiable.

Dawdle 发表于 2025-3-27 18:02:56

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水獭 发表于 2025-3-28 01:54:21

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散步 发表于 2025-3-28 03:13:25

Ecological Informatics: An Introductionlogical data, and the need to communicate results and inform decisions, including those related to research, conservation and resource management (Recknagel 2017). At its core, ecological informatics combines developments in information technology and ecological theory with applications that facilit

CAMP 发表于 2025-3-28 07:04:47

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轻浮女 发表于 2025-3-28 14:22:53

Scientific Databases for Environmental Researchhe management of their own data and for sharing data with others. However, using databases for research is not without challenges due to the characteristics of scientific data, which differ in terms of longevity, volume, diversity and ways they are used from many business applications. This chapter
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查看完整版本: Titlebook: Ecological Informatics; Data Management and Friedrich Recknagel,William K. Michener Book 2018Latest edition Springer International Publish