DataPLANT’s mission is to provide a sustainable and well annotated data management platform for plant sciences. DataPLANT will pave the way from classical paper publication to pure data publication including the Annotated Research Context (ARC)
DataPlant is primarily geared towards the needs of fundamental plant research (e.g. those represented by the DFG categories 202-[01 evolution and systematics of plants and animals, 04 plant physiology, 05 plant biochemistry and biophysics, 06 plant cell and developmental biology, 07 plant genetics]. As such DataPlant is especially adapter to large scale data sets be it omics science or imaging and is ready to store petabaytes of annotated data.
DataPlant will allow users to store their data in form of an annotated research context. This includes not only the measurement data, but also (meta)data annotations, tools, and scripts. This will allow reproducibility plus to forward “raw data” and metadata slices to public repositories (e.g. EBI NCBI etc.).
More info at https://www.nfdi4plants.org/
