使用 OpenBIS 作为虚拟研究环境:将 ELN-LIMS 开放源码数据库工具作为 CRC 1411 颗粒产品设计的框架

Q2 Computer Science
Fabian Plass, S. Englisch, B. Apeleo Zubiri, Lukas Pflug, E. Spiecker, Michael Stingl
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引用次数: 0

摘要

数字化转型和随之而来的新数字技术的使用不仅对社会和企业产生重大影响,也对科学产生重大影响。几个世纪以来我们所熟知的模拟文献最终将被智能化和 FAIR(可查找、可访问、可互操作和可重复使用)系统所取代。除了实际的研究数据和成果外,元数据现在不仅对独立存在的单个项目起着重要作用,而且对未来的科学使用和跨学科研究小组和学科也起着重要作用。本文介绍的解决方案由基于 openBIS(开放生物学信息系统)环境的电子实验室笔记本和实验室信息管理系统(ELN-LIMS)组成,具有有趣的特点和优势,尤其适用于跨学科工作。德国研究基金会第 1411 号合作研究中心(CRC)"微粒产品设计 "的特点是不同工作组在合成、表征和模拟方面的合作,因此可作为介绍 openBIS 实施情况的示范环境。OpenBIS 作为一个遵循 FAIR 原则的开放源码 ELN-LIMS 解决方案,提供了一套通用条目,可以共享和链接(元)数据,以改善所有用户之间的科学交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using OpenBIS as Virtual Research Environment: An ELN-LIMS Open-Source Database Tool as a Framework within the CRC 1411 Design of Particulate Products
The digital transformation and consequent use of new digital technologies not only have a substantial impact on society and companies, but also on science. Analog documentation as we have known it for centuries will eventually be replaced by intelligent and FAIR (Findable, Accessible, Interoperable, and Reusable) systems. In addition to the actual research data and results, metadata now plays an important role not only for individual, independently existing projects, but for future scientific use and interdisciplinary research groups and disciplines as well. The solution presented here, consisting of an electronic laboratory notebook and laboratory information management system (ELN-LIMS) based on the openBIS (open Biology Information System) environment, offers interesting features and advantages, especially for interdisciplinary work. The Collaborative Research Centre (CRC) 1411 ‘Design of Particulate Products’ of the German Research Foundation is characterized by the cooperation of different working groups of synthesis, characterization, and simulation, and therefore serves as a model environment to present the implementation of openBIS. OpenBIS, as an open source ELN-LIMS solution following FAIR principles, provides a common set of general entries with the possibility of sharing and linking (meta-)data to improve the scientific exchange between all users.
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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