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Metadata Schema for the German Human Genome-Phenome Archive
Metadata Schema for the German Human Genome-Phenome Archive
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This White Paper summarizes the development of the German Human Genome-Phenome Archive (GHGA) Metadata Model and describes the modeling framework in detail. Further, it elaborates on implemented ontologies, data privacy considerations and alignment with other (inter-) national consortia.

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URL: https://zenodo.org/records/8341224Communities:
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Combining the BIDS and ARC Directory Structures for Multimodal Research Data Organization
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Combining the BIDS and ARC Directory Structures for Multimodal Research Data OrganizationInterdisciplinary collaboration and integration of large and diverse datasets are becoming increasingly important. Answering complex research questions requires combining and analysing multimodal datasets. Research data management follows the FAIR principles making data findable, accessible, interoperable, and reusable. However, there are challenges in capturing the entire research cycle and contextualizing data according, not only for the DataPLANT and NFDI4BIOIMAGE communities. To address these challenges, DataPLANT developed a data structure called Annotated Research Context (ARC). The Brain Imaging Data Structure (BIDS) originated from the neuroimaging community extended for microscopic image data. Both concepts provide standardised and file system based data storage structures for organising and sharing research data accompanied with metadata. We exemplarily compare the ARC and BIDS designs and propose structural and metadata mapping.
Learning Resource Type
Poster
File Format
PDF
Languages
English
Media Type
Image
Publication Date
2023-09-12
License
CCBY
Size
2.9 MB
Authors
Keywords
#Data Management#FAIR#Reproducibility#Metadata#NFDI#Data Publishing#DataPLANT#NFDI4BIOIMAGE#Microscopy#ARC#Annotated Research Context#BIDS#Bio Imaging#Brain Imaging Data Structure#Data Packaging#Linked Data#Metadata Mapping#Multimodal Data#NFDI4Plants#Plant Science#Research Object
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Improved Findability of Energy Research Software by Introducing a Metadata-based Registry
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Improved Findability of Energy Research Software by Introducing a Metadata-based RegistryNo description.
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2024-01-19
License
CCBY
Size
395.1 KB
Authors
Keywords
#FAIR#Metadata#Digital Libraries#Energy Research#Interoperability#Open Source Software#Research Soft-ware#Software Reusability
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FAIRmat, Guide to Writing a Research Data Management Plan
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FAIRmat, Guide to Writing a Research Data Management PlanIn this guide, we will provide you with comprehensive information and practical tips specific to the fields of condensed-matter physics and materials science on creating a data management plan (DMP) that meets the DFG requirements and aligns your research with the FAIR data principles, the DFG code of conduct, and the EU open science policy. We will take you through the essential components of a DMP, provide tips on data management best practices, and offer guidance on appropriate tools and technologies. By the end of this guide, you will have the knowledge and tools necessary to create a thorough and effective DMP that not only meets the requirements of the DFG but also supports the long-term success of your research project. This guide follows the sections in the DFG checklist, and the questions to be addressed as required by the DFG are listed after each section. Although this guide is based on the requirements of the DFG, the information is not exclusive to any specific funding agency and can be used as a general guide for other research areas. Before preparing a DMP for your project, make sure to check the specific requirements for your funding agency, discipline, and research institution.
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2023-03-25
License
CCBY
Size
3 MB
Authors
Keywords
#FAIR#Metadata#NFDI#Research Data Management#Repository#Data Management Plan#Forschungsdatenmanagement#FDM#File Format#FAIR data principles
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Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific Communities
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Towards a Versatile Terminology Service for Empowering FAIR Research Data: Enabling Ontology Discovery, Design, Curation, and Utilization Across Scientific CommunitiesPresentation of the paper at SEMANTiCS 2023 (https://2023-eu.semantics.cc/)
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2023-09-15
License
CCBY
Size
5.4 MB
Authors
Keywords
#FAIR#RDM#Ontology#FAIR Research Data Management#OLS#Ontology Curation#Ontology Harmonization#Terminology Services
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Organizing Scientific Knowledge From Energy System Research Using the Open Research Knowledge Graph
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Organizing Scientific Knowledge From Energy System Research Using the Open Research Knowledge GraphNo description.
File Format
PDF
Languages
English
Media Type
Text
Publication Date
2024-01-24
License
CCBY
Size
427.9 KB
Authors
Keywords
#FAIR#Ontology#Open Science#Energy System Research#Infrastructure#Knowledge Graph#Scenario#Scientific Communication#Scientific Knowledge
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