Democratization of plant research

Made easy.

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our mission

Driving the digital change in plant science

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

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the community

Fundamental research in plant science

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.

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annotated research context

Understanding ARC publications

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.).

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service

Building the DataPLANT infrastructure and service landscape

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”.

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News

26 Oct

New Swate version delivers increased search performance

We have just released the newest version of Swate, our Excel tool for simplifying the addition of standardized metadata for your experimental workflows by leveraging a simple use of ontologies. Together with the new changes in ISADotNet and Swobup we are now able to provide a much better search performance and a more stable experience for all users. Neo4j, as a GraphDB, was implemented for a restructuring of SwateDB, yielding a performance boost for our related term directed search. This especially...

25 Oct

3rd ARC Hackathon at the Forschungszentrum Jülich

We were glad to finally meet again in person for an ARC Hackathon at Forschungszentrum Jülich. The goal of the event was to work on improving DataPLANTs solution for FAIR data. The Annotated Research Context and its associated tools and services.

27 Sep

Create your own Data Management Plan with DataPLAN

A Data Management Plan (DMP) structures the handling of research data in a scientific project and describes how to deal with the data during and after the end of your project. Many third-party funders, such as DFG, Horizon Europe, or BMBF expect you to provide these information as part of your funding application.

16 Sep

DataPLANT participated in the workshop "Forschungssoftware managen

Two colleagues in the DataPLANT consortium participated in the workshop "Forschungssoftware managen" held at Stuttgart University mid September. The workshop was initiated by the DINI/nestor e.V. and brought together software developers and research data management specialists from various institutes, experts from service providers and university libraries.