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Role of Semantic Resources in Infrastructures for Data Management in Agrosystems and Landscape Research
Role of Semantic Resources in Infrastructures for Data Management in Agrosystems and Landscape Research
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In 2023, the FAIRagro project started its work as a consortium of almost 30 partnering organizations active in agrosystems research in Germany. FAIRagro is part of the National Research Data Infrastructure (NFDI) initiative with its goal to set up a cross-domain research data infrastructure (RDI) conforming to the FAIR principles. The main objective is to establish an interoperable and scalable RDI by connecting available repositories to facilitate combined data analyses. Partly, existing agricultural data repositories involved in FAIRagro already use semantic resources like vocabularies and thesauri. For example, the Smart Rural Area Data Infrastructure (SRADI) developed and maintained by the Technical University of Munich leverages metadata vocabularies like DCAT and Dublin Core, but also strives for compatibility with well established geospatial data standards as provided by the Open Geospatial Consortium. The BonaRes Repository, as another example, was launched in 2017 at the Leibniz Centre for Agricultural Landscape Research (ZALF) and manages soil-agricultural data from research projects. To address FAIR data principles, numerous open community standards, vocabularies and PIDs, e.g. INSPIRE and DataCite for metadata description, AGROVOC for keyword annotation and ORCID for author annotation are used. Within that context, there are challenges especially regarding cross-linking of data sets and repositories and a need for cross-standard interoperability. Large Linked Data resources like AGROVOC can provide bridges through URI-based metadata annotations. For practical purposes, this however requires consistent use according to best practices, mappings and alignments. The presentation will illustrate how the FAIRagro project addresses these issues within its activities.
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Was sind Normdaten?
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Was sind Normdaten?Das Tutorial erklärt grundsätzlich, was Normdaten sind und wie sie im Bezug auf Forschungsdaten genutzt werden können. Zudem werden Normdaten für verschiedene Entitäten und von verschiedenen Anbietern thematisiert und ihr Potential für das Semantic Web erläutert.
File Format
Unknown
Languages
German
Media Type
Video
Publication Date
2023
License
CCBY
Authors
Keywords
#FAIR#NFDI#Nationale Forschungsdateninfrastruktur#Forschungsdaten#Culture#Normdaten#Standards
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Knowledge Graphs - Working Group Charter (NFDI section-metadata)
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Knowledge Graphs - Working Group Charter (NFDI section-metadata)Knowledge Graphs are a key technology for implementing the FAIR principles in data infrastructures by ensuring interoperability for both humans and machines. The Working Group "Knowledge Graphs" in Section "(Meta)data, Terminologies, Provenance" of the German National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur (NFDI) e.V.) aims to promote the use of knowledge graphs in all NFDI consortia, to facilitate cross-domain data interlinking and federation following the FAIR principles, and to contribute to the joint development of tools and technologies that enable transformation of structured and unstructured data into semantically reusable knowledge across different domains.
Learning Resource Type
Article
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-04-05
License
CCBY
Size
214.9 KB
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Keywords
#NFDI#research data management#Base4NFDI#FAIR principles#knowledge graph#knowledge graphs
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FAIR Data Infrastructure for Agrosystems
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FAIR Data Infrastructure for AgrosystemsThe consortium FAIRagro (launched 2023) focuses on the domain of agrosystem research to enable researchers a FAIR and quality-assured research data management (RDM) to generate, publish and access relevant data, innovative RDM services and modern data science methods to support and advance our community. This Poster was shown at the CoRDI conference 2023 in Karlsruhe (booth poster)
Learning Resource Type
Poster
File Format
PDF
Languages
English
Media Type
Image
Publication Date
2023-11-22
License
CCBY
Size
1.4 MB
Authors
Keywords
#NFDI#Research Data Management#agriculture#Agrosystems
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FAIRagro - A FAIR Data Infrastructure for Agrosystems (proposal)
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FAIRagro - A FAIR Data Infrastructure for Agrosystems (proposal)This document is the proposal for the consortium FAIRagro in the framework of the National Research Data Infrastructure (NFDI) in Germany. The proposal was submitted to the German Research Foundation (DFG) in Nov 2021. The proposal was finally accepted with a revised working program in Feb 2023. All financial resources (personnel, material, direct project costs, in-kind contributions) were removed from the public version.n
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-09-21
License
CCBY
Size
2.9 MB
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Keywords
#NFDI#research data management#agrosystems#research data infrastructures
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FAIRmat, Guide to Writing a Research Data Management Plan
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FAIRmat, Guide to Writing a Research Data Management PlanIn this guide, we will provide you with comprehensive information and practical tips specific to the fields of condensed-matter physics and materials science on creating a data management plan (DMP) that meets the DFG requirements and aligns your research with the FAIR data principles, the DFG code of conduct, and the EU open science policy. We will take you through the essential components of a DMP, provide tips on data management best practices, and offer guidance on appropriate tools and technologies. By the end of this guide, you will have the knowledge and tools necessary to create a thorough and effective DMP that not only meets the requirements of the DFG but also supports the long-term success of your research project. This guide follows the sections in the DFG checklist, and the questions to be addressed as required by the DFG are listed after each section. Although this guide is based on the requirements of the DFG, the information is not exclusive to any specific funding agency and can be used as a general guide for other research areas. Before preparing a DMP for your project, make sure to check the specific requirements for your funding agency, discipline, and research institution.
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-03-25
License
CCBY
Size
3 MB
Authors
Keywords
#FAIR#NFDI#Research Data Management#Metadata#Repository#Data Management Plan#Forschungsdatenmanagement#FDM#File Format#FAIR data principles
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DAPHNE4NFDI. DAta from PHoton and Neutron Experiments
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DAPHNE4NFDI. DAta from PHoton and Neutron ExperimentsDAPHNE4NFDI is the first (inter-)national attempt to bring together users and large-scale research facilities to create a comprehensive infrastructure to process research DAta from PHoton and Neutron Experiments (DAPHNE) according to the FAIR principles. Our community faces a common need for high-level, rapid data analysis and the challenge of implementing research data management for increasingly large and complex datasets. All this involves not only a broad range of scientific disciplines and stakeholders, but also the connection to complex instrumentation and IT. Within the talk, Lisa Amelung would like to inform about the DAPHNE4NFDI consortium and discuss (current) challenges and future tasks.
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2022-11-18
License
CCBY
Size
4.9 MB
Authors
Keywords
#NFDI#Nationale Forschungsdateninfrastruktur#Forschungsdaten#research data management#FAIR principles#Forschungsdatenmanagement#FDM#RDM#Metadaten#metadata#research data#data analysis#FAIR-Prinzipien#DAPHNE4NFDI#FAIR data#Infrastructure#Datenanalyse#FAIRe Daten#Infrastruktur#Metadatenerfassung#National Research Data#Neutronenforschung#Photonenforschung#metadata capture#neutron research#photon research
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