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ISPRS Int. J. Geo-Inf. 2016, 5(3), 25; doi:10.3390/ijgi5030025

panMetaDocs, eSciDoc, and DOIDB—An Infrastructure for the Curation and Publication of File-Based Datasets for GFZ Data Services

1
GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam 14473, Germany
2
Commonwealth Scientific and Industrial Research Organisation, Mineral Resources, 26 Dick Perry Avenue, Kensington, WA 6151, Australia
*
Authors to whom correspondence should be addressed.
Academic Editors: Constanze Curdt, Christian Willmes, Georg Bareth and Wolfgang Kainz
Received: 30 November 2015 / Revised: 19 January 2016 / Accepted: 17 February 2016 / Published: 2 March 2016
(This article belongs to the Special Issue Research Data Management)
View Full-Text   |   Download PDF [2129 KB, uploaded 10 March 2016]   |  

Abstract

The GFZ German Research Centre for Geosciences is the national laboratory for Geosciences in Germany. As part of the Helmholtz Association, providing and maintaining large-scale scientific infrastructures are an essential part of GFZ activities. This includes the generation of significant volumes and numbers of research data, which subsequently become source materials for data publications. The development and maintenance of data systems is a key component of GFZ Data Services to support state-of-the-art research. A challenge lies not only in the diversity of scientific subjects and communities, but also in different types and manifestations of how data are managed by research groups and individual scientists. The data repository of GFZ Data Services provides a flexible IT infrastructure for data storage and publication, including minting of digital object identifiers (DOI). It was built as a modular system of several independent software components linked together through Application Programming Interfaces (APIs) provided by the eSciDoc framework. Principal application software are panMetaDocs for data management and DOIDB for logging and moderating data publications activities. Wherever possible, existing software solutions were integrated or adapted. A summary of our experiences made in operating this service is given. Data are described through comprehensive landing pages and supplementary documents, like journal articles or data reports, thus augmenting the scientific usability of the service. View Full-Text
Keywords: data publication; data curation; persistent identifier; institutional repository data publication; data curation; persistent identifier; institutional repository
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ulbricht, D.; Elger, K.; Bertelmann, R.; Klump, J. panMetaDocs, eSciDoc, and DOIDB—An Infrastructure for the Curation and Publication of File-Based Datasets for GFZ Data Services. ISPRS Int. J. Geo-Inf. 2016, 5, 25.

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