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Exchange of Clinical and Omics Data According to FAIR Principles: A Review of Open Source Solutions.
Methods of Information in Medicine ( IF 1.7 ) Pub Date : 2020-07-03 , DOI: 10.1055/s-0040-1712968
Philipp Pugliese 1 , Christian Knell 1 , Jan Christoph 1
Affiliation  

Abstract

Background Due to the ongoing increase and importance of the sustainable reusability of data, the findable, accessible, interoperable, reusable or FAIR principles were developed which are also relevant in translational research.

Objectives The study aims at identification of platforms by literature search that are suitable for implementation in translational research, in particular with regard to their FAIRness.

Methods The collected information is summarized and compared.

Results Platforms have been identified which are suitable for linking with other translational platforms with regard to documentation, long-term archiving, and processing as well as for FAIR handling of bioinformatic data.

Conclusion There are already platforms in the translational environment that take FAIR principles into account and thus improve translational research. Due to the specialization of the research platforms and the fact that FAIR are only principles and not standards, the platforms have to be examined in individual cases to see whether and how they can be integrated with other platforms.



中文翻译:

根据FAIR原则进行临床和组学数据交换:开源解决方案的回顾。

摘要

背景技术 由于数据的可持续重用性的不断提高和重要性,因此开发了可找到,可访问,可互操作,可重用或FAIR的原则,这些原则也与翻译研究相关。

目的 本研究旨在通过文献检索识别适合在转化研究中实施的平台,尤其是在平台公正性方面。

方法 对收集到的信息进行汇总和比较。

结果 已经确定了适合在文档,长期归档和处理以及对生物信息数据进行FAIR处理方面与其他翻译平台链接的平台。

结束语 翻译环境中已经有平台将FAIR原则考虑在内,从而改善了翻译研究。由于研究平台的专业性以及FAIR只是原则而非标准,因此必须在个别情况下检查平台,以查看它们是否以及如何与其他平台集成。

更新日期:2020-07-05
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