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Updated: Sep 24, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
Published on: August 5, 2020
From data to knowledge - big data needs stewardship, a plant phenomics perspective
Daniel Arend1, Dennis Psaroudakis1, Junaid Altaf Memon1
1Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, D-06466 Seeland, OT Gatersleben, Germany.
Data stewards are crucial for managing complex research data, especially in plant phenotyping. Their expertise enhances data quality and prevents loss, supporting the digital transformation of scientific research.
Area of Science:
- Life Sciences
- Plant Science
- Bioinformatics
Background:
- Modern research generates vast, complex data, exceeding researchers' capacity.
- The research data life cycle requires specialized management beyond traditional IT support.
- Increasing data complexity risks data loss and hinders scientific progress.
Purpose of the Study:
- To demonstrate how data stewards can address challenges in data-driven research.
- To outline necessary expertise and skills for data stewards.
- To highlight the role of data stewards in enhancing research data management.
Main Methods:
- Analysis of data management processes and best practices in plant phenotyping.
- Case studies from IPK Gatersleben's germplasm collection and crop research.
- Identification of required competencies for data stewards.
Main Results:
- Data stewards provide essential expertise for managing complex research data.
- Implementation of data stewards enhances data quality and prevents data loss.
- Data stewards facilitate the digital transformation in scientific research.
Conclusions:
- Data stewards are integral to modern, data-intensive research environments.
- Specialized data management skills are vital for scientific data integrity.
- Adopting data stewards improves the efficiency and reliability of the research data life cycle.
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