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Research Data Management - an Online Introduction (HeFDI Data Learning Materials)
Research Data Management - an Online Introduction (HeFDI Data Learning Materials)
Authors
Description

The self-study course is characterised by a clear structuring of nine blocks (Introduction to FDM; The Life Cycle of Research Data; DMP; Metadata and Metadata Standards; FAIR and CARE Principles; Data Quality; Data Organisation; Data Storage and Archiving; Law). The individual chapters contain different media (text, image and video files), tasks and are designed to build on each other thematically. The contents are supported by examples from different disciplines with literature references and links to further platforms and sources (e.g. DFG) and the learning objectives are successively recorded.

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
Search & Reuse Research Data
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Search & Reuse Research DataThe OER provides a good overview of the topics mentioned in the title. It works with a combination of reading parts, explanatory videos and a quiz at the end of each section. Additionally, at the end of each section, links to further information are listed, which offer the user the possibility to deepen their knowledge individually.
File Format
Unknown
Languages
German
Publication Date
2019-10-23
License
CCBY
Authors
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
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
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
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

Data
Literacy
Alliance
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