A FAIR guide for data providers to maximise sharing of human genomic data

Autor: Nadezda V. Kovalevskaya, Amanda A. McMurray, Fiona G. G. Nielsen, Manuel Corpas
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Social contract
Research Facilities
Computer science
Interoperability
Information Centers
Geographical Locations
Database and Informatics Methods
0302 clinical medicine
Databases
Genetic

Biology (General)
Data Processing
Ecology
Archives
Genomics
Genomic Databases
Europe
Computational Theory and Mathematics
Data exchange
Modeling and Simulation
Information Technology
Computer and Information Sciences
QH301-705.5
Genomic data
Research and Analysis Methods
Human Genomics
Education
World Wide Web
03 medical and health sciences
Cellular and Molecular Neuroscience
Genomic Medicine
Genetics
Humans
Molecular Biology
Ecology
Evolution
Behavior and Systematics

Scientific Publishing
Genome
Human

Information Dissemination
Data provider
Biology and Life Sciences
Computational Biology
Human Genetics
Genome Analysis
Data sharing
Metadata
030104 developmental biology
Biological Databases
People and Places
Database transaction
030217 neurology & neurosurgery
Zdroj: PLoS Computational Biology, Vol 14, Iss 3, p e1005873 (2018)
PLoS Computational Biology
ISSN: 1553-7358
Popis: It is generally acknowledged that, for reproducibility and progress of human genomic research, data sharing is critical. For every sharing transaction, a successful data exchange is produced between a data consumer and a data provider. Providers of human genomic data (e.g., publicly or privately funded repositories and data archives) fulfil their social contract with data donors when their shareable data conforms to FAIR (findable, accessible, interoperable, reusable) principles. Based on our experiences via Repositive (https://repositive.io), a leading discovery platform cataloguing all shared human genomic datasets, we propose guidelines for data providers wishing to maximise their shared data’s FAIRness.
Databáze: OpenAIRE
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