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FAIR research data with NOMAD – FAIRmat's distributed, schema-based research-data infrastructure to harmonize RDM in materials science
FAIR research data with NOMAD – FAIRmat's distributed, schema-based research-data infrastructure to harmonize RDM in materials science
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Description

Scientific research is becoming increasingly data centric, which requiresmore effort to manage, share, and publish data. NOMAD is a web-based platform thatprovides research data management (RDM) for materials-science data. In addition tocore RDM functionalities like uploading and sharing files, NOMAD automatically ex-tracts structured data from supported file formats, normalizes, and converts data fromthese formats. NOMAD provides an extendable framework for managing not just files,but structured machine-actionable harmonized and inter-operable data. This is the ba-sis for a faceted search with domain-specific filters, a comprehensive API, structureddata entry via customizable ELNs, integrated data-analysis and machine-learning tools.NOMAD is run as a free public service and can additionally be operated by researchinstitutes. Connecting NOMAD installations through the public services will allow afederated data infrastructure to share data between research institutes and further har-monize RDM within a large research domain such as materials science.
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URL: https://zenodo.org/records/8347750Communities:
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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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PDF
Languages
English
Media Type
Presentation
Publication Date
2022-06-24
License
CCBY
Size
8.9 MB
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Keywords
#Open Data#RDM#Metadaten#metadata#Forschungsdatenmanagement#research data management#NFDI4Chem#Digitalisierung#Standardisierung#repository#data analysis#data preservation#FAIR-Prinzipien#ELN#FDM#FAIR data#Datenanalyse#FAIR principles#FAIRe Daten#Infrastruktur#Dokumentation#standard#electronic lab notebook#Chemie#ELB#Elektronisches Laborbuch#Forschungsdateninfrastruktur#Repositorium#chemistry#infrastructure#research data infrastructure#Chemotion#Datensicherung#Datenstrukturierung#Datenvisualisierung#LabIMotion#Open Source#Publikation#Simulation#Software#Standard#Visualisierung#Wissensmanagement#data structuring#data visualisation#digitalisation#digitisation#knowledge management#publication#simulation#standardisation#visualisation
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DATA AFFAIRS – Data Management for ethnographic research
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DATA AFFAIRS – Data Management for ethnographic researchThe e-learning portal "DATA AFFAIRS" (developed by the DFG-funded Collaborative Research Center 1171 "Affective Societies" (FU Berlin)) offers scientists working with empirical and qualitative research data in ethnographic research a wide range of learning and training opportunities based on the current challenges of data management. The open-access platform provides all interested parties with insights into a total of 18 topics, ranging from data protection and data security, artificial intelligence and sustainability to the best methods for anonymizing and pseudonymizing personal data. The content can be explored via different areas: "Inform", "Learn", "Guide" and "Glossary", and contains text, image, audio and video material as well as interactive learning units. Practical examples and application-oriented exercises encourage interactive self-study.
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Unknown
Languages
German
Publication Date
2023-11-22
License
CCBYSA
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Keywords
#metadata#research data management#archiving#copyright#data life cycle#data management plan#license#artificial intelligence#care principles#fair#audiovisual#data format#data protection#documentation#sharing
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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.
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PDF
Languages
English
Media Type
Presentation
Publication Date
2023-05-05
License
CCBY
Size
7.3 MB
Authors
Keywords
#RDM#Metadaten#metadata#Forschungsdatenmanagement#research data management#repository#FAIR-Prinzipien#ELN#FDM#FAIR data#FAIR principles#FAIRe Daten#Infrastruktur#electronic lab notebook#Chemie#ELB#Elektronisches Laborbuch#Forschungsdateninfrastruktur#Repositorium#chemistry#infrastructure#research data infrastructure#HeFDI Data Talk
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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
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Keywords
#RDM#Metadaten#metadata#Forschungsdatenmanagement#research data management#repository#FAIR-Prinzipien#ELN#FDM#FAIR data#FAIR principles#FAIRe Daten#Infrastruktur#electronic lab notebook#Chemie#ELB#Elektronisches Laborbuch#Forschungsdateninfrastruktur#Repositorium#chemistry#infrastructure#research data infrastructure
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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
#RDM#Metadaten#metadata#Forschungsdatenmanagement#research data management#data analysis#FAIR-Prinzipien#FDM#FAIR data#Datenanalyse#FAIR principles#FAIRe Daten#Infrastruktur#NFDI#research data#Nationale Forschungsdateninfrastruktur#Forschungsdaten#DAPHNE4NFDI#Infrastructure#Metadatenerfassung#National Research Data#Neutronenforschung#Photonenforschung#metadata capture#neutron research#photon research
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DataCite Best Practice Guide
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DataCite Best Practice GuideThis document is a guideline for the use of the official DataCite Metadata Schema documentation (https://schema.datacite.org/), version 4.4 (https://doi.org/10.14454/3w3z-sa82). A support documentation for more convenience and better navigation can be found here as a HTML version DataCite Metadata Schema Documentation (https://datacite-metadata-schema.readthedocs.io/, different versions available). It is meant for researchers, IT and library support staff. Further information on the schema can be found on the DataCite support site (https://support.datacite.org/docs/datacite-metadata-schema-44). The document was created with participation from the following institutions/projects: *IT-Gruppe Geisteswissenschaften (LMU), *Leibniz Supercomputing Centre, *Max Weber Stiftung - Deutsche Geisteswissenschaftliche Institute im Ausland, *Universitätsbibliothek der FAU, *Universitätsbibliothek der LMU München, *VerbaAlpina. This guide is designed to be reused by other institutions as well. To create a DataCite XML file for the project you want to describe, we recommend to you to use the DataCite Metadata Generator [external link]. This tool is kept in sync with this guideline, safe for transmission times inbetween versions. If you want to create metadata for research data on a scale that is too large for manual procedures, please contact one of the institutions named above.
Learning Resource Type
Best Practices
File Format
PDF
Languages
English
Media Type
Image, Text
Publication Date
2022-09-20
License
CCBYSA
Size
4.4 MB
Authors
Keywords
#metadata#research data management#research data#standardization#DataCite#digital humanities#interoperability
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