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The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences

Systematic data management and controlled data sharing aim at increasing reproducibility, reducing redundancy in work, and providing a way to efficiently locate complementing or contradicting information. One method of achieving this is collecting data in a central repository or in a location that i...

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Detalles Bibliográficos
Autores principales: Razick, Sabry, Močnik, Rok, Thomas, Laurent F., Ryeng, Einar, Drabløs, Finn, Sætrom, Pål
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030636/
https://www.ncbi.nlm.nih.gov/pubmed/24682735
http://dx.doi.org/10.1093/database/bau027
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author Razick, Sabry
Močnik, Rok
Thomas, Laurent F.
Ryeng, Einar
Drabløs, Finn
Sætrom, Pål
author_facet Razick, Sabry
Močnik, Rok
Thomas, Laurent F.
Ryeng, Einar
Drabløs, Finn
Sætrom, Pål
author_sort Razick, Sabry
collection PubMed
description Systematic data management and controlled data sharing aim at increasing reproducibility, reducing redundancy in work, and providing a way to efficiently locate complementing or contradicting information. One method of achieving this is collecting data in a central repository or in a location that is part of a federated system and providing interfaces to the data. However, certain data, such as data from biobanks or clinical studies, may, for legal and privacy reasons, often not be stored in public repositories. Instead, we describe a metadata cataloguing system and a software suite for reporting the presence of data from the life sciences domain. The system stores three types of metadata: file information, file provenance and data lineage, and content descriptions. Our software suite includes both graphical and command line interfaces that allow users to report and tag files with these different metadata types. Importantly, the files remain in their original locations with their existing access-control mechanisms in place, while our system provides descriptions of their contents and relationships. Our system and software suite thereby provide a common framework for cataloguing and sharing both public and private data. Database URL: http://bigr.medisin.ntnu.no/data/eGenVar/
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spelling pubmed-40306362014-05-27 The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences Razick, Sabry Močnik, Rok Thomas, Laurent F. Ryeng, Einar Drabløs, Finn Sætrom, Pål Database (Oxford) Original Article Systematic data management and controlled data sharing aim at increasing reproducibility, reducing redundancy in work, and providing a way to efficiently locate complementing or contradicting information. One method of achieving this is collecting data in a central repository or in a location that is part of a federated system and providing interfaces to the data. However, certain data, such as data from biobanks or clinical studies, may, for legal and privacy reasons, often not be stored in public repositories. Instead, we describe a metadata cataloguing system and a software suite for reporting the presence of data from the life sciences domain. The system stores three types of metadata: file information, file provenance and data lineage, and content descriptions. Our software suite includes both graphical and command line interfaces that allow users to report and tag files with these different metadata types. Importantly, the files remain in their original locations with their existing access-control mechanisms in place, while our system provides descriptions of their contents and relationships. Our system and software suite thereby provide a common framework for cataloguing and sharing both public and private data. Database URL: http://bigr.medisin.ntnu.no/data/eGenVar/ Oxford University Press 2014-03-28 /pmc/articles/PMC4030636/ /pubmed/24682735 http://dx.doi.org/10.1093/database/bau027 Text en © The Author(s) 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Razick, Sabry
Močnik, Rok
Thomas, Laurent F.
Ryeng, Einar
Drabløs, Finn
Sætrom, Pål
The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
title The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
title_full The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
title_fullStr The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
title_full_unstemmed The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
title_short The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
title_sort egenvar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030636/
https://www.ncbi.nlm.nih.gov/pubmed/24682735
http://dx.doi.org/10.1093/database/bau027
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