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Presentation . 2022
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DataPLANT – Provider of Tools and Services to structure the Data Jungle

Authors: Dumschott, Kathryn;

DataPLANT – Provider of Tools and Services to structure the Data Jungle

Abstract

Together with other disciplines, plant research increasingly relies on effective research data management services and infrastructures that facilitate the acquisition, archival, exchange, and processing of research data sets to enable the exchange of interdisciplinary expertise. While various suggestions on best practices for FAIR data have been made, it is nevertheless always up to individual researchers' initiative and additional effort to adhere to them. Focused on its core mission to minimize the additional work of research data management, DataPLANT wants to support plant researchers in practice, providing technical services and infrastructure and personal support. Therefore DataPLANT, one consortium of the NFDI (Nationale Forschungsdateninfrastruktur) focusing on plant research project, works in a data-centric way and builds on existing structures. A central element for achieving the goal is the Annotated Research Context (ARC), which acts as single entry point and will define the structure of a future data publication. ARCs are FAIR Digital Objects covering the entire research cycle, from the experiment to the computational aspects to the actual data and metadata, as well as the resulting data publications using existing repositories. Several tools and services are already available to ensure working with ARCs is done without friction in a collaborative research environment. Accordingly, DataPLANT represents the central point of contact for plant researchers to set up appropriate research data management. Important note: The recording of the HeFDI Data Talk can be viewed at the following link: https://youtu.be/1SuXAmt2lVc You can also discover other recordings of Data Talks on the YouTube channel.

The HeFDI Data Talks are a bi-weekly open information and discussion event focused on data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and presents numerous – including local and regional – tools and services. The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).

Keywords

FDM, Annotation, Ontologie, Forschungsdatenmanagement, NFDI4plants, DataPLANT, Swate, RDM, National Research Data Infrastructure, ontology, Annotated Research Context, Forschungsdaten, FAIR data, FAIR principles, metadata, kontrolliertes Vokabular, research data, ARC, Nationale Forschungsdateninfrastruktur, FAIR-Prinzipien, NFDI, annotation, Metadaten, research data management, FAIRe Daten, controlled vocabulary

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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