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Updated: May 12, 2025

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain

Published on: March 13, 2020

Reference framework for metadata description to commensurate data in grain production.

Katariina Pussi^1,2, Petri Linna³, Pasi Suomi¹

¹Natural Resources Institute Finland (Luke), Production Systems, Latokartanonkaari 9, 00790 Helsinki, Finland.

|May 9, 2025

Summary

This summary is machine-generated.

Data spaces require harmonized farm data for interoperability and accessibility. Metadata standards are crucial for trustworthy data products in grain production.

Keywords:

Agriculture Data Data space Grain production Metadata Smart farming

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Area of Science:

Agricultural data management
Information science

Background:

Farm data interoperability is essential for data spaces.
Data accessibility is key to realizing data value.
Service providers will emerge to translate farm data into valuable data products.

Purpose of the Study:

To discuss metadata requirements for grain production data.
To highlight the importance of metadata for data product creation and consumption.

Main Methods:

Literature review on data spaces and metadata standards.
Analysis of requirements for farm data harmonization and accessibility.
Discussion of metadata's role in ensuring data trustworthiness.

Main Results:

Data spaces necessitate harmonized farm data for improved interoperability.
Metadata standards, catalogs, and ontologies are vital for reliable and trustworthy data products.
Effective metadata facilitates the discovery and consumption of farm data products.

Conclusions:

Standardized metadata is fundamental for the success of data spaces in agriculture.
Addressing metadata requirements will enhance data value and utility in grain production.
Trustworthy data products are achievable through common metadata practices.