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e!DAL - a framework to store, share and publish research data

BACKGROUND: The life-science community faces a major challenge in handling “big data”, highlighting the need for high quality infrastructures capable of sharing and publishing research data. Data preservation, analysis, and publication are the three pillars in the “big data life cycle”. The infrastr...

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Autores principales: Arend, Daniel, Lange, Matthias, Chen, Jinbo, Colmsee, Christian, Flemming, Steffen, Hecht, Denny, Scholz, Uwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080583/
https://www.ncbi.nlm.nih.gov/pubmed/24958009
http://dx.doi.org/10.1186/1471-2105-15-214
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author Arend, Daniel
Lange, Matthias
Chen, Jinbo
Colmsee, Christian
Flemming, Steffen
Hecht, Denny
Scholz, Uwe
author_facet Arend, Daniel
Lange, Matthias
Chen, Jinbo
Colmsee, Christian
Flemming, Steffen
Hecht, Denny
Scholz, Uwe
author_sort Arend, Daniel
collection PubMed
description BACKGROUND: The life-science community faces a major challenge in handling “big data”, highlighting the need for high quality infrastructures capable of sharing and publishing research data. Data preservation, analysis, and publication are the three pillars in the “big data life cycle”. The infrastructures currently available for managing and publishing data are often designed to meet domain-specific or project-specific requirements, resulting in the repeated development of proprietary solutions and lower quality data publication and preservation overall. RESULTS: e!DAL is a lightweight software framework for publishing and sharing research data. Its main features are version tracking, metadata management, information retrieval, registration of persistent identifiers (DOI), an embedded HTTP(S) server for public data access, access as a network file system, and a scalable storage backend. e!DAL is available as an API for local non-shared storage and as a remote API featuring distributed applications. It can be deployed “out-of-the-box” as an on-site repository. CONCLUSIONS: e!DAL was developed based on experiences coming from decades of research data management at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK). Initially developed as a data publication and documentation infrastructure for the IPK’s role as a data center in the DataCite consortium, e!DAL has grown towards being a general data archiving and publication infrastructure. The e!DAL software has been deployed into the Maven Central Repository. Documentation and Software are also available at: http://edal.ipk-gatersleben.de.
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spelling pubmed-40805832014-07-03 e!DAL - a framework to store, share and publish research data Arend, Daniel Lange, Matthias Chen, Jinbo Colmsee, Christian Flemming, Steffen Hecht, Denny Scholz, Uwe BMC Bioinformatics Software BACKGROUND: The life-science community faces a major challenge in handling “big data”, highlighting the need for high quality infrastructures capable of sharing and publishing research data. Data preservation, analysis, and publication are the three pillars in the “big data life cycle”. The infrastructures currently available for managing and publishing data are often designed to meet domain-specific or project-specific requirements, resulting in the repeated development of proprietary solutions and lower quality data publication and preservation overall. RESULTS: e!DAL is a lightweight software framework for publishing and sharing research data. Its main features are version tracking, metadata management, information retrieval, registration of persistent identifiers (DOI), an embedded HTTP(S) server for public data access, access as a network file system, and a scalable storage backend. e!DAL is available as an API for local non-shared storage and as a remote API featuring distributed applications. It can be deployed “out-of-the-box” as an on-site repository. CONCLUSIONS: e!DAL was developed based on experiences coming from decades of research data management at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK). Initially developed as a data publication and documentation infrastructure for the IPK’s role as a data center in the DataCite consortium, e!DAL has grown towards being a general data archiving and publication infrastructure. The e!DAL software has been deployed into the Maven Central Repository. Documentation and Software are also available at: http://edal.ipk-gatersleben.de. BioMed Central 2014-06-24 /pmc/articles/PMC4080583/ /pubmed/24958009 http://dx.doi.org/10.1186/1471-2105-15-214 Text en Copyright © 2014 Arend et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Arend, Daniel
Lange, Matthias
Chen, Jinbo
Colmsee, Christian
Flemming, Steffen
Hecht, Denny
Scholz, Uwe
e!DAL - a framework to store, share and publish research data
title e!DAL - a framework to store, share and publish research data
title_full e!DAL - a framework to store, share and publish research data
title_fullStr e!DAL - a framework to store, share and publish research data
title_full_unstemmed e!DAL - a framework to store, share and publish research data
title_short e!DAL - a framework to store, share and publish research data
title_sort e!dal - a framework to store, share and publish research data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080583/
https://www.ncbi.nlm.nih.gov/pubmed/24958009
http://dx.doi.org/10.1186/1471-2105-15-214
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