Overview
The Minimum Information About Plant Phenotyping Experiments (MIAPPE) is a data standard designed to harmonize the description
of experimental and computed data to enable its sharing, publication and reuse.
It is designed to handle datasets of crops and woody plant grown in greenhouses, single fields or experimental networks overs
one to several years.
The main elements of a MIAPPE datasets are shown on the figure below and consist of the Dataset itself (or Investigation
following ISA), the Study, the Biological Material and the Observation Variables.

See the latest
MIAPPE specifications
(
PDF format
data exchange templates ) for a full description
of the standard.
Dataset (Investigation)
It contains the basic information shared by any type of datasets: title, authors list, description, a DOI for citability, etc....
Studies
A MIAPPE dataset contains one to many Studies, each studies being one experiment in one location over one to several years.
This multiannual capabilities allows to handle perenial plants such as trees or grape. A Study can also be virtual to hold the
result of a computation voer one to several experimental studies. It contains also the geographical coordinates of the Study.
Biological Material
This is one of the two most essential description to enable FAIR data sharing.
It is the biological material being studied (e.g. plants grown from a certain bag or seed, or plants grown in a particular
field) including identification and traceability. The original source of that material (e.g., the seeds or the original plant
cloned) is called the material source, which, when held by a material repository, should have its stock identified.
Observed Variable
An observed variable describes how a measurement has been made. It typically takes the form of a measured characteristic of
the observation unit (plant or environmental trait), associated to the method and unit of measurement. Multiple variables with
the same combination of trait, method and scale can be used in association with different plant parts (leaf 1, leaf 2),
when this distinction is necessary for observations referring to different parts of the same observation unit.
Implementations
MIAPPE is a pure specification that has been implemented in several systems and tools: