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 by making use of the Annotated Research Context (ARC).
DataPLANT is primarily geared towards the needs of fundamental plant research (e.g. those represented by the DFG categories 2.12-[01 evolution and systematics of plants and fungi, 04 plant physiology, 05 plant biochemistry and biophysics, 06 plant cell and developmental biology, 07 plant genetics and genomics]). As such DataPLANT is especially adapted to large scale data sets, be it omics science or imaging, and is ready to store petabaytes of annotated data.
DataPLANT enables users to store their data in form of an Annotated Research Context (ARC). This includes not only the measurement data, but also (meta)data annotations, tools, and scripts. This will allow reproducibility and also forwarding “raw data” and metadata slices to public repositories (e.g. EBI, NCBI etc.).
DataPLANT’s mission is service standing on the shoulders of giants. As such it relies on existing IT infrastructure and builds user-oriented services. DataPLANT wants to break the paradigm of “we are a --- mandated provider so you have to live with our tools where even IT experts get gray hair when submitting data” to “we understand that annotating data and providing metadata takes precious and we are in it together so let’s make this as easy as possible”.
