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相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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GIS Software, Hardware, and Sources of GIS Data01:23

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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相关实验视频

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dtool和dserver:一个灵活的生态系统,用于可查找数据.

Johannes L Hörmann1,2, Luis Yanes3, Ashwin Vazhappilly1,2

  • 1Cluster of Excellence livMatS, Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Freiburg, Germany.

PloS one
|June 25, 2024
PubMed
概括
此摘要是机器生成的。

dtool及其查找服务器 (dserver) 通过将元数据包装成数据来促进 FAIR 数据管理. 这种分散的系统使数据集易于查找,促进了研究中的可访问性和可重复性.

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科学领域:

  • 数据科学数据科学数据科学
  • 研究数据管理研究数据管理
  • 计算科学 计算科学

背景情况:

  • 公平的数据原则 (可查找,可访问,可互操作,可重复) 对于现代研究至关重要.
  • 现有的数据管理解决方案通常需要集中式系统或刚性元数据,阻碍可访问性.

研究的目的:

  • 介绍dtool,用于管理研究数据的轻量级工具.
  • 介绍dserver,一个基于REST API的查找服务器,以解决分散数据管理中的可查找性挑战.

主要方法:

  • dtool包装不变的数据与元数据成独立的数据集.
  • dserver 使用一个 REST API 来索引和启用 dtool 数据集的发现.
  • dtool 生态系统是为了简单,模块化和标准化而设计的.

主要成果:

  • dtool促进了数据的可访问性,互操作性和可重复性.
  • dserver有效地使分散的dtool数据集可查找,提高了生态系统的公平性.
  • dtool 生态系统弥合了个人数据管理和平台解决方案之间的差距.

结论:

  • 与dserver一起的dtool生态系统为FAIR数据管理提供了一个实用的解决方案.
  • 它的分散和标准化方法支持跨学科的研究数据共享和重用.