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Open Access Highly Accessed Software

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

Daniel Arend*, Matthias Lange, Jinbo Chen, Christian Colmsee, Steffen Flemming, Denny Hecht and Uwe Scholz

Author Affiliations

Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, Corrensstr. 3, 06466 Stadt Seeland, Germany

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BMC Bioinformatics 2014, 15:214  doi:10.1186/1471-2105-15-214

Published: 24 June 2014

Abstract

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 webcite.

Keywords:
Research data management; Data publication; Persistent identifier; Metadata annotation; Shared repositories; JAVA API