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翻译数据目录 - 可发现的生物医学数据集.

Danielle Welter1,2, Philippe Rocca-Serra3,4, Valentin Grouès1

  • 1Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg, L-4367, Belval, Luxembourg.

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概括
此摘要是机器生成的。

从合作项目中发现生物医学数据集是一项挑战. 翻译数据目录使用FAIR原则提高了数据的可查性,提高了欧洲研究计划的机器可访问性.

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科学领域:

  • 生物医学研究的研究.
  • 数据科学是数据科学.
  • 信息管理 信息管理

背景情况:

  • 在翻译和生物医学研究中,数据集的可发现性往往是零星的.
  • 竞争前的项目数据集面临着由于数据共享协议和不同部门优先事项的挑战.

研究的目的:

  • 介绍翻译数据目录的创建,内容,价值和采用情况.
  • 为欧盟委员会资助的研究项目和数据集建立一个单一的发现点.
  • 确保数据集是机器可查找和可访问的.

主要方法:

  • 在支持 FAIR 的社区标准上构建数据目录.
  • 整合来自欧洲主要公私伙伴关系研究计划的项目.
  • 专注于机器的可访问性和可查找性.

主要成果:

  • 翻译数据目录为各种数据集提供了一个集中的发现点.
  • 它解决了用于竞争前研究的数据共享方面的挑战.
  • 该目录是基于FAIR原则构建的,提高了数据的可访问性.

结论:

  • 翻译数据目录是改善生物医学数据发现能力的宝贵资源.
  • 它以公平原则为基础,确保机器可访问性.
  • 在ELIXIR生态系统中的可持续性是关键的下一步.