Democratization of plant research

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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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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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15 Aug

DataPLANT published Knowledge Base

DataPLANT has developed a Knowledge Base for research data management (RDM) in fundamental plant research. The Knowledge Base is divided into three sections, which build upon each other. Within the Fundamentals section, researchers are provided with knowledge about principles of RDM, such as the FAIR Data Principles or “What is metadata?”. As the header already indicates, the second section is on how DataPLANT is implementing these aspects to support plant researchers with sophisticated and straight-forward structures, tools and services for their RDM. At the moment...

8 Jul

MAdLand and DataPLANT signed a Memorandum of Understanding

On 8th July the MadLand project represented by Prof. Dr. Stefan A. Rensing and DataPLANT represented by its speaker signed a Memorandum of Understanding on joint collaboration in research data management in fundamental plant research. Both parties share the same goals to reach FAIRification of research data as in modern plant research, scientists increasingly rely on research data management (RDM) for the effective acquisition, processing, archival, and sharing of research data sets...

23 Jun

DataPLANT participated in the JCDL Satellite Event

DataPLANT participated in the JCDL Satellite Event on 23rd June 2022. It presented it's background and activities on research data management in the workshop "RDM and DP communities: Finding the common ground to develop a collaborative future service landscape". Long-term access to research data is one of the major goals of the NFDI. Our consortium is strongly committed to research data management and the necessary technical and organizational frameworks. Before the start of DataPLANT the participants...

19 May

DataPLANT infrastructure and services at upcoming NFDI Tool Talk

The infrastructure development team of DataPLANT will present “The current state of developments in the DataPLANT infrastructure and services” at the upcoming NFDI tool talks. The tool talks are open to the wider NFDI community and foster the exchange between the practitioners and developers in research data management tools and services. It allows us to verify our concepts and receive feedback on the principles and ideas before advancing them to the next level. The presentation follows up...