Posted: April 19th, 2017 | Author: Sven | Filed under: EDaWaX, journals | Tags: data archives, Data Sharing, DOI, Linking Data and Publications | No Comments »
Yesterday, a new blog post has been published on ZBW Mediatalk in which I describe the history and the background of the EDaWaX-project that led to the development of the ZBW Journal Data Archive. The Journal Data Archive (JDA) is a service for editorial offices of journals in economics and partially also in the social sciences. Currently this service is free of charge and already two renowned journals are using our services productively.
The JDA offers direct linking between published research papers and the underlying data, that has been used to generate the findings of an article. The workflow is time-saving and easy to handle: Authors of a journal’s article submit their replication files to the system and describe these files with additional metadata. For us it was quite important to find a useful balance between the efforts a user has to invest to generate these additional metadata and the needs of our information systems. For the development of our metadata schema, we followed the motto ‘as much as necessary, as little as possible.’ Read the rest of this entry »
Posted: June 25th, 2014 | Author: Sven | Filed under: EDaWaX, Projects | Tags: DOI, Linking Data and Publications, persistent identifiers | 1 Comment »
We are very happy to announce that our research funding organisation, the German Research Foundation (DFG), has granted another two years of funding for our project.
In their final report, based on the good results of the project’s first funding phase, the reviewers concluded that EDaWaX’s planning for expanding the pilot application and for undertaking a detailed analysis of journals in business studies should be supported with “high”, respectively “highest priority.” Read the rest of this entry »
Posted: March 10th, 2014 | Author: Sven | Filed under: Data Sharing, Projects, Research Data | Tags: data repositories, Data Sharing, Datasets, DOI | Comments Off on Introducing datorium – a new Data Repository Service for the Social Sciences
The current e-infrastructure for research data management in the field of social sciences in Germany has extended by an important component. Up to now, we faced a fragmented e-infrastructure for documenting, storing, hosting and curating research data in social sciences: On the one hand there are well-established research data centres e.g. for large household survey data. On the other hand appropriate research data infrastructure components for small and medium-sized research projects for instance were, with a few exceptions, almost not available yet. Read the rest of this entry »
Posted: July 25th, 2012 | Author: Sven | Filed under: journals | Tags: data centres, data citation, data journal, DOI | Comments Off on New Open Access Data Journal in Geosciences
The Royal Meteorological Society has partnered with Wiley and Sons to launch a the new Open Access Geoscience Data Journal.
Geoscience Data Journal is online-only and will publish short data papers (articles describing a dataset, giving details including collection, processing, software and file formats) covering topics ranging from weather and climate, to oceanography, atmospheric chemistry and geology. All published data papers will be linked to datasets deposited in approved data centres, which provide details of the collection, processing and file formatting of data and awarded DOIs (Digital Object Identifiers)
Read the rest of this entry »
Posted: December 5th, 2011 | Author: Sven | Filed under: Projects | Tags: biosciences, Citation, demonstrator, DOI, interviews, journals | 1 Comment »
The SageCite project
, funded by JISC, is releasing interviews with the editors of two leading journals in the Biosciences. The two interviews explore a large range of issues concerning data, scholarly communications and publishers, the links between data and publications and interoperability between data repositories and publishers.
SageCite developed and tested a Citation Framework linking data, methods and publications; Citations of complex network models of disease and associated data have been embedded in leading publications, exploring issues around the citation of data including the compound nature of datasets, description standards and identifiers.
The project worked through a number of workpackages comprising:
* Review and evaluation of options and approaches for data citation
* Understanding the requirements for citing large-scale network models of disease and compound research obejcts
* Demonstration of a citation-enabled workflow using a linked data approach
* Benefits mapping using the “Keeping Research Data Safe 2” taxonomy
* Technical and policy implications of citation by leading publishers
* Dissemination across communities (bio-informatics and research and information communities)
The results of these workpackages are published here – the project now has concluded.