Measures for interoperability of phenotypic data: minimum information requirements and formatting

Measures for interoperability of phenotypic data: minimum information requirements and formatting

Abstract Background Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the...

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Bibliographic Details
Main Authors: Hanna Ćwiek-Kupczyńska, Thomas Altmann, Daniel Arend, Elizabeth Arnaud, Dijun Chen, Guillaume Cornut, Fabio Fiorani, Wojciech Frohmberg, Astrid Junker, Christian Klukas, Matthias Lange, Cezary Mazurek, Anahita Nafissi, Pascal Neveu, Jan van Oeveren, Cyril Pommier, Hendrik Poorter, Philippe Rocca-Serra, Susanna-Assunta Sansone, Uwe Scholz, Marco van Schriek, Ümit Seren, Björn Usadel, Stephan Weise, Paul Kersey, Paweł Krajewski
Format: Article
Language:English
Published: BMC 2016-11-01
Series:Plant Methods
Subjects:
Data standardisation and formatting
Experimental metadata
Minimum information recommendations
Plant phenotyping
Experiment description
Online Access:http://link.springer.com/article/10.1186/s13007-016-0144-4

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http://link.springer.com/article/10.1186/s13007-016-0144-4

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