RESEARCH DATA MANAGEMENT

Research data management (RDM) regulates how scientists and researchers handle digital data. RDM measures include methodological, conceptual, organisational and technical steps that accompany scientific data from the planning of their generation to their usage and processing to their permanent archiving.

A central issue in research data management is the documentation of data and research processes on the one hand. On the other, appropriate infrastructures are necessary to enable the reuse of data or to verify the robustness of published scientific findings.

Until recently it has not been customary for economists to make their data available to others for reuse, although data sharing offers important benefits. Research data can be reused; expensive collation procedures and double efforts can be avoided. In addition, the scientific cognition process can be accelerated by such forms of collaborative working.

The ZBW therefore participates in several projects that aim to promote the sharing of research dataand the reproducibility of research findings.

The ZBW aims to be a competent partner for research data in economics and the associated technologies in the field of research data management.

Current research data services and initiatives:

National Research Data Infrastructure (NFDI)

In November 2018, the German federal and state governments decided to develop a National Research Data Infrastructure (NFDI). NFDI will ensure the systematic management, long-term preservation, and accessibility of data across disciplines and countries according to the FAIR principles. The 30 consortia currently being established will play an important role in this. Financing is provided for the next ten years in the amount of 85 million Euros per annum. The ZBW is engaged in the following consortium:

  • Consortium for the Social, Behavioural, Educational, and Economic Sciences (KonsortSWD) (Start: autumn 2020):
    This consortium is led by GESIS – Leibniz Institute for the Social Sciences and includes the ZBW, DIPF – Leibniz Institute for Research and Information in Education, the LifB – Leibniz Institute for Educational Trajectories, the SOEP at the German Institute for Economic Research (DIW), the Berlin Social Science Center (WZB), the Leibniz Institute for Psychology Information (ZPID), the German Centre for Higher Education Research and Science Studies (DZHW), the Sociological Research Institute Göttingen (SOFI) at Göttingen University, the research data centre Qualiservice of Bremen University, and Duisburg-Essen University.

The ZBW participates in the planning of the following consortia:

GO FAIR

The GO FAIR Initiative aims to foster the findability, accessibility, interoperability and reusability of research data across countries and dsiciplines.
More about the GO FAIR Initiative

Discipline-specific research data services and initiatives:

International Journal for Re-Views in Empirical Economics - IREE

IREE is a new journal for replication studies in emprical economics.
More about International Journal for Re-Views in Empirical Economics - IREE

ZBW Journal Data Archive

The ZBW Journal Data Archive is a service for editors of scholarly journals in economics. They can deposit datasets and other materials of empirical articles and make them available to support the traceability and reproducibility of published research findings.
More about the ZBW Journal Data Archive
ZBW Journal Data Archive

da | ra

Research data must be registered with a unique identification number, a so-called Persistent Identifier such as a Digital Object Identifier (DOI), to make them permanently identifiable and citable. This is the prerequisite for rewarding researchers for their efforts in data processing with a citation of the dataset, the same as is currently done with citing publications.

In Germany, the registration agency da|ra organises the assignation of DOI names for datasets from economics and the social sciences. The agency is operated by the ZBW jointly with GESIS – Leibniz Institute for the Social Sciences.
More about da|ra