FAIR research data management as community approach in bioengineering

被引:4
作者
Rehnert, Martina [1 ]
Takors, Ralf [1 ]
机构
[1] Univ Stuttgart, Inst Biochem Engn, Allmandring 31, D-70569 Stuttgart, Germany
来源
ENGINEERING IN LIFE SCIENCES | 2023年 / 23卷 / 01期
关键词
bioengineering; community approach; data sustainability; data management; FAIR; FRAMEWORK;
D O I
10.1002/elsc.202200005
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Research data management (RDM) requires standards, policies, and guidelines. Findable, accessible, interoperable, and reusable (FAIR) data management is critical for sustainable research. Therefore, collaborative approaches for managing FAIR-structured data are becoming increasingly important for long-term, sustainable RDM. However, they are rather hesitantly applied in bioengineering. One of the reasons may be found in the interdisciplinary character of the research field. In addition, bioengineering as application of principles of biology and tools of process engineering, often have to meet different criteria. In consequence, RDM is complicated by the fact that researchers from different scientific institutions must meet the criteria of their home institution, which can lead to additional conflicts. Therefore, centrally provided general repositories implementing a collaborative approach that enables data storage from the outset In a biotechnology research network with over 20 tandem projects, it was demonstrated how FAIR-RDM can be implemented through a collaborative approach and the use of a data structure. In addition, the importance of a structure within a repository was demonstrated to keep biotechnology research data available throughout the entire data lifecycle. Furthermore, the biotechnology research network highlighted the importance of a structure within a repository to keep research data available throughout the entire data lifecycle.
引用
收藏
页数:5
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