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FAIR research data management as community approach in bioengineering.
Martina Rehnert1, Ralf Takors1
1Institute of Biochemical Engineering University of Stuttgart Stuttgart Germany.
Engineering in Life Sciences
|January 9, 2023
Summary
Implementing collaborative research data management (RDM) using FAIR data principles and structured repositories is crucial for sustainable bioengineering research. This approach ensures data accessibility and reusability across institutions and the entire data lifecycle.
Area of Science:
- Bioengineering
- Biotechnology Research
- Data Science
Background:
- Research data management (RDM) necessitates robust standards, policies, and guidelines for sustainable research.
- Findable, Accessible, Interoperable, and Reusable (FAIR) data principles are critical for modern scientific endeavors.
- Bioengineering's interdisciplinary nature and diverse criteria complicate standardized RDM, especially across institutions.
Purpose of the Study:
- To demonstrate the implementation of FAIR data management (FAIR-RDM) within a collaborative bioengineering research network.
- To highlight the importance of structured repositories for long-term data availability in biotechnology.
- To address challenges in RDM arising from inter-institutional collaboration in bioengineering.
Main Methods:
- A collaborative approach was employed within a biotechnology research network comprising over 20 tandem projects.
- A specific data structure was utilized to facilitate FAIR-RDM implementation.
- Centralized general repositories were established to enable data storage from the project's inception.
Main Results:
- Successful implementation of FAIR-RDM was demonstrated through the collaborative approach and structured data management.
- The study confirmed the critical role of repository structure in maintaining biotechnology research data throughout its lifecycle.
- The collaborative model proved effective in overcoming institutional data management conflicts.
Conclusions:
- Collaborative approaches and structured repositories are essential for effective FAIR-RDM in bioengineering.
- Implementing FAIR data principles enhances the sustainability and accessibility of research data.
- Standardized RDM practices are vital for interdisciplinary fields like bioengineering to ensure data integrity and longevity.
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