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Knowledge Graphs - Working Group Charter (NFDI section-metadata)
Knowledge Graphs - Working Group Charter (NFDI section-metadata)
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Description

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.
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URL: https://zenodo.org/records/7802304Communities:
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HeFDI Data Talk: Chemotion - An Introduction to an Open-Source ELN for FAIR Data
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HeFDI Data Talk: Chemotion - An Introduction to an Open-Source ELN for FAIR DataElectronic Lab Notebooks (ELNs) are a key prerequisite to a comprehensive documentation of research processes, the digital storage of research data, and their reuse. ELNs can be used to plan, record, store and - in combination with repositories - disclose experiments or research data. In the long run, the benefit of ELNs is the option to store and manage data in a standardized way and to enrich the data with (automatically generated) information such as metadata, identifiers and descriptors. For scientists, ELNs offer advantages such as faster research processes and a faster access to information. Selected benefits of the ELN Chemotion - an ELN that was designed for the discipline Chemistry - will be presented to show exemplarily the use of research data management tools. The ELN offers special features for chemical work and includes diverse functions that allow the use of the ELN also in other disciplines. Both, the chemistry specific as well as the generic and adaptable modules will be presented in brief.  Chemotion ELN can be used in combination with the open access repository Chemotion. The disclosure of research data to the public is possible by a direct transfer of information from the ELN to the repository. The interoperable systems ELN and repository guarantee on the one hand an easy process for the disclosure of information and on the other hand the availability of comprehensive data including primary data and descriptions.  The systems Chemotion ELN and Chemotion Repository are part of the strategy of the National Research Data Infrastructure for Chemistry (NFDI4Chem) in Germany. Dr. John Jolliffe from NFDI4Chem will present the strategy and measures of NFDI4Chem in brief.
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2023-05-05
License
CCBY
Size
7.3 MB
Authors
Data Science & AI: Concept for Setting up a Working Group in the NFDI Section Common Infrastructures
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Data Science & AI: Concept for Setting up a Working Group in the NFDI Section Common InfrastructuresDue to the nature of NFDI as a science-led, interdisciplinary community aiming to promote systematic access to research data with the aim for them to become FAIR (findable, accessible, interoperable, reusable) and form parts of dynamic constellations, the WG on Data Science and Artificial Intelligence (DSAI) aims to coordinate and facilitate project-wide collaboration. We do so by taking advantage of the cross-cutting topics centered on technical, legal and ethical and governance of research data which have been subject of on-going discussions amongst NFDI consortia in the last year and for which a far-reaching consensus has been acquired.
Learning Resource Type
Report
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2022-04-27
License
CCBY
Size
104.6 KB
Authors
Chemotion. An Introduction to an Open-Source ELN for FAIR Data
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Chemotion. An Introduction to an Open-Source ELN for FAIR DataElectronic Lab Notebooks (ELNs) are a key prerequisite to a comprehensive documentation of research processes, the digital storage of research data, and their reuse. ELNs can be used to plan, record, store and - in combination with repositories - disclose experiments or research data. In the long run, the benefit of ELNs is the option to store and manage data in a standardized way and to enrich the data with (automatically generated) information such as metadata, identifiers and descriptors. For scientists, ELNs offer advantages such as faster research processes and a faster access to information. Selected benefits of the ELN Chemotion - an ELN that was designed for the discipline Chemistry - will be presented to show exemplarily the use of research data management tools. The ELN offers special features for chemical work and includes diverse functions that allow the use of the ELN also in other disciplines. Both, the chemistry specific as well as the generic and adaptable modules will be presented in brief.  Chemotion ELN can be used in combination with the open access repository Chemotion. The disclosure of research data to the public is possible by a direct transfer of information from the ELN to the repository. The interoperable systems ELN and repository guarantee on the one hand an easy process for the disclosure of information and on the other hand the availability of comprehensive data including primary data and descriptions.  The systems Chemotion ELN and Chemotion Repository are part of the strategy of the National Research Data Infrastructure for Chemistry (NFDI4Chem) in Germany. Dr. John Jolliffe from NFDI4Chem will present the strategy and measures of NFDI4Chem in brief.
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2023-06-16
License
CCBY
Size
5.6 MB
Authors
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
Authors
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.
Chemotion & Research Data Infrastructure NFDI4Chem
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Chemotion & Research Data Infrastructure NFDI4ChemElektronische Laborjournale (ELNs) sind eines der wichtigsten Werkzeuge der Forschenden, die es ermöglichen, Ihre Forschungsdaten nach den FAIR-Prinzipien (Findable, Accessible, Interoperable, Reusable) zu veröffentlichen. Das Open-Source ELN Chemotion sowie das angebundene Chemotion Repositorium, welche kontinuierlich durch das Konsortium NFDI4Chem im Rahmen der NFDI (Nationalen Forschungsdateninfrastruktur) weiterentwickelt werden, sind besonders auf die Umsetzung der FAIR-Prinzipien ausgelegt.

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