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NFDI4Chem Knowledge Base: Ein Platz für alles Wissenswerte zum Forschungsdatenmanagement (FDM) in der Chemie
NFDI4Chem Knowledge Base: Ein Platz für alles Wissenswerte zum Forschungsdatenmanagement (FDM) in der Chemie
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Die NFDI4Chem Knowledge Base bietet Informationen und Empfehlungen für die Digitalisierung aller wichtigen Schritte in der chemischen Forschung, um Wissenschaftlerinnen und Wissenschaftler in ihren Bemühungen zu unterstützen, Forschungsdaten zu sammeln, zu speichern, zu verarbeiten, zu analysieren, offenzulegen und wiederzuverwenden. Diese Wissensdatenbank ist von RDMkit (https://rdmkit.elixir-europe.org/index.html) inspiriert, wurde aber speziell auf Chemiker als Endnutzer zugeschnitten. Maßnahmen zur Förderung von Open Science und Forschungsdatenmanagement (siehe auch https://riojournal.com/article/55852/) in Übereinstimmung mit den FAIR-Datenprinzipien werden von alltäglichen Nutzern vorgestellt und reichen von der Planung und Umsetzung bis zur Veröffentlichung und Wiederverwendung.

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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
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#HeFDI Data Talk#Repositorium#chemistry#infrastructure#research data infrastructure
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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.
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2022-06-24
License
CCBY
Size
8.9 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#Open Data#NFDI4Chem#Digitalisierung#Standardisierung#data analysis#data preservation#Datenanalyse#Dokumentation#standard#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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Train-the-Trainer Concept on Research Data Management
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Train-the-Trainer Concept on Research Data ManagementThis version of the 'Train-the-Trainer Concept on Research Data Management' is the English translation of the fifth updated version of the German 'Train-the-Trainer-Konzept zum Forschungsdatenmanagement'. The translation of the concept resulted from the need to address the ongoing internationalisation of science in Germany and the fact that researchers are increasingly communicating in English. Building individual skills in research data management and training multipliers in English is therefore becoming even more important. Due to the existence of the National Research Data Infrastructure (NFDI) with its subject-specific consortia, the newly approved Clusters of Excellence and Collaborative Research Centres, the need for qualified staff is growing immensely. This also applies to universities and research institutions in general. For this version, the content of all units has been revised and experiences acquired from previous online Train-the-Trainer Workshops have been integrated into the concept. This concept thus provides new, more detailed information for already experienced Research Data Management (RDM) professionals. This train-the-trainer concept addresses RDM topics in an inspirational way and delivers teaching methods at the same time. Furthermore, topics such as diversity and barrier-reduced teaching materials are addressed to create an engaging learning environment. Please note that some of the content and included materials cover specific issues that only apply to the German science community. We hope that readers of this translated version of the concept will receive useful and informative insights in the field of research data management. Acknowledgements: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101035821 (EUniWell #Research). Kindly take note that this document was translated with the technical services of ChatGPT and was adapted in terms of language based on native speaker proofreading by Andrew Rennison.
Learning Resource Type
Book, Course, Drill and Practice, Lesson Plan, Worksheet
File Format
PPTX, PDF, ZIP, DOCX, RTB, TXT, XLSX
Languages
English
Media Type
Presentation, Text
Publication Date
2024-10-31
License
CCBY
Size
195.2 MB
Authors
Keywords
#RDM#Forschungsdatenmanagement#research data management#research data#training#Forschungsdaten#OER#Didactics#train-the-trainer
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A Practical Guide to FAIR Research Data Management in Medicinal Chemistry
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A Practical Guide to FAIR Research Data Management in Medicinal ChemistryScientists produce huge amounts of data every day, unfortunately not the full potential of these data is exploited. Most of the time, data is generated in a special project, kept within only one working group and forgotten after a few years. Eventually, the interest in these data arises again, but unfortunately, the data then is lost for different reasons: The data cannot be found, the data cannot be opened because the software is no longer supported, the documentation of the data is incomplete, so nobody understands the data anymore, and the list goes on. To avoid these issues, the FAIR principles [1] for good research data management were established, which are required by more and more funders, e.g., the DFG, and journals, e.g. ChemMedChem. But the scientists are not left alone with these new challenges. The NFDI4Chem [2] and SIS Pharmacy [3] support with tools, information materials, workshops and more to make the transition to FAIR research data as easy as possible. In this poster, we want to offer support to scientists which are new to the field of FAIR research data management. We will give an overview of the important concepts and principles, useful tools and offer starting points on how to start with FAIR research data management. In detail, FAIR principles, electronic lab notebooks (ELNs), data management plans (DMPs), repositories will be introduced, and a practical guide starting now with good research data management, will be presented. [1] M. D. Wilkinson at al., Sci Data, 2016, 3, 160018/1-9. [2] S. Herres-Pawlis, BFDM, 2021, 34-45. [3] C. Draheim et al., PZ Prisma. 2019, 26(2), 68-74.
Learning Resource Type
Poster
File Format
PDF
Languages
English
Publication Date
2023-04-14
License
CCBYSA
Size
1.7 MB
Authors
Keywords
#Forschungsdatenmanagement#research data management#Chemie#chemistry#NFDI4Chem#Fachinformationsdienst#Pharmazie#Specialised Information Service#pharmacy
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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#FAIR-Prinzipien#FDM#FAIR data#FAIR principles#FAIRe Daten#Infrastruktur#data analysis#Datenanalyse#research data#Forschungsdaten#NFDI#Nationale Forschungsdateninfrastruktur#DAPHNE4NFDI#Infrastructure#Metadatenerfassung#National Research Data#Neutronenforschung#Photonenforschung#metadata capture#neutron research#photon research
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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
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
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