At present, economists rarely offer their data to others for repurposing. This ignores the obvious advantages of data sharing: research data can be reused and expensive collection procedures and duplicate work can be avoided. In addition, the scholarly discovery process can be accelerated through such forms of collaboration.
Several ZBW projects are intended to foster the sharing of research data. With the research focus on research data management the ZBW aims to be a competent partner for research data in economics and the corresponding technologies.
The GO FAIR Initiative aims to make research data findable, accessible, interoperable and reusable across national and disciplinary boundaries.
About the GO FAIR Initiative
“GeRDI – Generic Research Data Infrastructure” is a project funded by the German Research Foundation (DFG) and aims to build a federated and linked-up infrastructure for research data (scientific cloud) where scientists can conduct multidisciplinary searches for research data.
KOLab is a joint lab based on the Leibniz Association’s position paper for the Pact for Research and Innovation. The ZBW and the University of Kiel will jointly research and develop systems and processes for the optimal handling of research data and their corresponding software.
The project aims to provide a new platform for the publication of replication studies and systematic re-views in empirical economics.
About International Journal for Re-Views in Empirical Economics - IREE
The ZBW Journal Data Archive is a service for editors of journals in economics and management. It offers the possibility for journal authors of papers containing empirical work, simulations or experimental work to store the data, programs, and other details of computations, to make these files publicly available and to support confirmability and replicability of their published research papers.
About ZBW Journal Data Archive
ZBW Journal Data Archive
The aim of the project is to build a web-based infrastructure for research data in economics and the social sciences — enabling self-archiving, documentation and distribution of research data.
The research project European Data Watch Extended (EDaWaX) was funded from 2011 until 2016 by the DFG. It dealt with the management of research data in economics journals.
Today, many contributions in scholarly journals are based on the analysis of research data and statistics. But the results of such analyses postulated in a journal article cannot be replicated or examined without the research data and the code of computation (syntax) of the statistical analysis used.
Therefore EDaWaX advised editors of economics journals in matters of appropriate policies aiming to involve research data in the review- and publication process. In addition, EDaWaX has developed an application editors can use to implement publication-related research data archives for their respective journals.
Furthermore the project intensively explored the question how suitable incentives to promote data sharing within the scientific community should be shaped.
Another important subject is the stable linking of research data.
In order to make research data persistently identifiable and citable, they must be registered with a unique identification number, a so-called Persistent Identifier, for instance a Digital Object Identifier (DOI). This ensures that researchers can be rewarded for their labour-intensive data processing with a citation of the dataset – comparable to the long-established practice of citing a publication.
The registration agency da|ra assigns these DOI numbers to datasets in social sciences and economics in Germany. It is jointly built and operated by the ZBW and GESIS – Leibniz Institute for the Social Sciences.
The ZBW also processed historical statistics for the management of research data within the project “Digitale Reichsstatistik”, which was funded by the German Research Foundation (DFG).
Statistical material which has so far been only available in print was being digitised and converted into formats readable with spreadsheet and statistical software.
The data were derived from the “Statistics of the German Reich (1873-1883)”, which represent the foundation of official German statistics. They provided, for the first time, data collected according to uniform criteria across all of Germany within its borders at that time.
About Digital Reich Statistics