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Related Experiment Video

Updated: May 7, 2026

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

Making open data work for plant scientists.

Sabina Leonelli¹, Nicholas Smirnoff, Jonathan Moore

¹Egenis & Department of Sociology, Philosophy and Anthropology, Byrne House, St Germans Road, Exeter EX4 4PJ, UK.

Journal of Experimental Botany

|September 18, 2013

Summary

This summary is machine-generated.

Open data sharing in plant science faces challenges. Community-specific databases are most effective for sharing sequencing, transcriptomics, and proteomics data, promoting research productivity.

Keywords:

Data sharing databases metabolomics open data proteomics publication repositories transcriptomics.

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Area of Science:

Plant science research
Genomics and omics data sharing

Background:

Limited implementation of open data sharing in plant science.
Unanswered questions and challenges hinder current research practices.

Purpose of the Study:

Highlight challenges in data generation, interpretation, and dissemination for plant researchers.
Review difficulties in sharing sequencing, transcriptomics, proteomics, and metabolomics data.
Assess available data-sharing venues for plant scientists.

Main Methods:

Review of challenges in data sharing for plant researchers.
Identification and assessment of three data-sharing venues: journal publications, university repositories, and community/project-specific databases.

Main Results:

Community and project-specific databases are most useful for effective data sharing.
These databases meet researcher needs, support curation, and enhance data reusability.
Journal publications and university repositories have limitations for comprehensive data sharing.

Conclusions:

Community-driven databases are crucial for effective plant science data sharing.
These databases require community, publisher, and funding support for sustainability.
Linking community databases with generic databases enhances discoverability and promotes efficient data sharing.