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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.

The Plant Journal : for Cell and Molecular Biology
|May 10, 2022
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
FAIR datadata stewardshipplant phenomicsresearch data

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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.