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DATA AFFAIRS – Data Management for ethnographic research
DATA AFFAIRS – Data Management for ethnographic research
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The 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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FAIR research data with NOMAD – FAIRmat's distributed, schema-based research-data infrastructure to harmonize RDM in materials science
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FAIR research data with NOMAD – FAIRmat's distributed, schema-based research-data infrastructure to harmonize RDM in materials scienceScientific 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.
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2023-09-13
License
CCBY
Size
3.8 MB
Authors
Keywords
#metadata#research data management#FAIR data#electronic lab notebook#materials science
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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
#metadata#research data management#FAIR data#electronic lab notebook#RDM#Metadaten#Forschungsdatenmanagement#repository#FAIR-Prinzipien#ELN#FDM#FAIR principles#FAIRe Daten#Infrastruktur#Chemie#ELB#Elektronisches Laborbuch#Forschungsdateninfrastruktur#Repositorium#chemistry#infrastructure#research data infrastructure
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Research Data Management for Biodiversity Data
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Research Data Management for Biodiversity DataThis course provides an introduction to research data management specifically tailored to the needs of biologists and is offered by the Biodiversity Data Consortium NFDI4Biodiversity in cooperation with the Hessian Research Data Infrastructure HeFDI.
Learning Resource Type
Assessment
File Format
MD, PNG
Languages
English
Media Type
Code, Image, Text
Publication Date
2024-06-03
License
CCBY
Size
2.9 MB
Authors
Keywords
#research data management#biodiversity#data life cycle#data management plan#data collection#data preservation#legal aspects#licenses#taxonomic data integration
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FDM-Lehrvideos
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FDM-LehrvideosThe instructional videos from RWTH Aachen offer a good first introduction to the topic of FDM. The offer is generic and covers the basics of good FDM in six videos (<10 minutes). The videos are linked by a narrative thread based on an example, but each video is stand-alone and can be understood without viewing previous videos.
File Format
Unknown
Languages
German
Publication Date
2022-04-27
License
CCBY
Authors
Keywords
#research data management#data life cycle#data management plan#organizing#fair#longterm preservation#preserving#publishing#persistent identifier
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MANTRA Research Data Management Training
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MANTRA Research Data Management TrainingThe MANTRA Research Data Management Training self-study course of the University of Edinburgh offers a good, English-language introduction to the topic of research data and research data management, with minor restrictions. The content of the course is rather generic and is aimed at all those who deal with the topic of research data in the context of a research project. The course is divided into eight content modules, each of which is concluded with exercises, as well as a further module containing tutorials with existing data sets for various software solutions. It should be noted that the statements on funding policy, funding institutions and DMP requirements focus predominantly on the UK.
File Format
Unknown
Languages
English
Publication Date
2017-10-23
License
CCBY
Authors
Keywords
#research data management#data management plan#organizing#research data#archiving#storing#sharing#machine learning
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How to be FAIR with your data
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How to be FAIR with your dataThe teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.
File Format
Unknown
Languages
English
Publication Date
2021-12-21
License
CCBY
Authors
Keywords
#research data management#data management plan#fair#publishing#research data#teaching#training
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