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The benefits and struggles of FAIR data: the case of reusing plant phenotyping data

Agriculture

The benefits and struggles of FAIR data: the case of reusing plant phenotyping data

E. A. Papoutsoglou, I. N. Athanasiadis, et al.

Dive into the world of plant phenotyping with research conducted by Evangelia A. Papoutsoglou, Ioannis N. Athanasiadis, Richard G. F. Visser, and Richard Finkers. Explore how FAIR data can enhance reusability and reproducibility in agricultural studies, using impactful case studies in potato genetics.

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Playback language: English
Abstract
Plant phenotyping data is often heterogeneous, poorly documented, and difficult to reuse. This paper examines the benefits and struggles of making and reusing FAIR (Findable, Accessible, Interoperable, Reusable) data in plant phenotyping, using genotype by environment and QTL by environment interactions for developmental traits in potato as a case study. The authors re-implemented a meta-analysis using FAIR data infrastructures, reporting challenges and potential for reusability and reproducibility, using metadata standards such as MIAPPE.
Publisher
Scientific Data
Published On
Jul 13, 2023
Authors
Evangelia A. Papoutsoglou, Ioannis N. Athanasiadis, Richard G. F. Visser, Richard Finkers
Tags
plant phenotyping
FAIR data
meta-analysis
reusability
metadata standards
potato
QTL interactions

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