Empirical studies to verify and develop theoretical models become increasingly important in economics. This is reflected in a rising number of empirical contributions to journals in which authors collected their own research data or used external datasets. However, so far there have been few effective means to replicate this research data within the framework of the corresponding article in order to verify it, to make it available for repurposing or to use it to support the scholarly debate.  

The project EDaWaX, funded by the DFG from 2011 until 2016, was intended to meet these challenges and has developed a software application for a publication-related data archive.

The second funding phase

The second funding phase of EDaWaX (2014-2016) built on the outcomes of the first phase (2011-2013). Amongst others, the following tasks were on the agenda:  

Initially the analyses conducted in the course of the first funding phase were deepened and broadened. In line to EDaWaX 1 the analysis of data policies and infrastructures used to provide publication-related research data were focussed on journals in business studies. Furthermore, the Max Planck Institute for Innovation and Competition (MCIER) evaluated the citation rates of journals and journal articles with accompanying research data in contrast to those without accompanying data. Based on the results it is possible to determine the effect of data disclosure on citations in economics.  

Concerning the technical infrastructure, the future development of the pilot application was the core of EDaWaX’s second funding phase. The pilot application received more features (e.g. automated DOI-minting, metadata dissemination etc.) and was transferred into a sustainable infrastructure provided by the well-established research data centre RDC SOEP.  

Advice for editors of journals

Another goal of the project was to advise editors of journals in economics and business studies on data policies and possible workflows to deal with publication-related data. With the development of the EDaWaX-application (ZBW Journal Data Archive) a suitable software environment is available to support research data management in scholarly journals.    

As in project phase 1 we held evaluation workshops with the editors of economics journals. For our project it was very important to develop our application in close collaboration with the community and its requirements.  

EDaWaX was a joint project of the German Data Forum (RatSWD), the Research Data Centre of the Socio-Economic Panel (RDC SOEP) at DIW Berlin, the Max Planck Institute for Innovation and Competition (MCIER) and the Leibniz Information Centre for Economics (ZBW).