Data Literacy

ZBW activities and services strengthen economic researchers and students in their ability to collect, manage, evaluate, and apply data in critical ways.

Toolkit for PhD students and Early Career Researchers in economics: the Academic Career Kit addresses management and sharing of research data. It covers the topics of “Data Management”, “Find Existing Data”, “Collect and Store Data” and “Publish and Share”.

Since 2021, the Federal Ministry for Economic Affairs and Climate Action, the Economic Research Institutes within the Leibniz Association, and the ZBW are in operative exchange on research data management.

The focus is on the strategic orientation regarding NFDI, European Open Science Cloud and GAIA-X, as well as the exchange on legal questions or questions regarding European developments such as the Data Governance Act. The ZBW has taken the role of consulting coordinator.

After three years’ groundwork, the GO FAIR Community has grown into a globally active network. The GO FAIR Community is an indispensable part of the international research data landscape as an important driver for the building of a global internet of FAIR Data and Services.

National and international research funders and journals in economics demand more and more often that data and analyses generated in projects and for publications should be made available publicly. This serves to ensure the reproducibility of published research findings on the one hand, and the reuse of the generated data on the other hand.

In these day-long workshops, the ZBW shows how to process analytic codes and data according to the guidelines of renowned journals. The ZBW gives an overview of the requirements made by the most important funders, journals and learned societies. Participants get practical training in how to ensure the reproducibility of their own empirical research and how to work more efficiently for themselves.

The online seminars are aimed primarily at master students and PhD candidates in economics who have just begun working on their thesis, work with quantitative data and use STATA as statistical software. The workshops show how reproducibility improves empirical research and how the increased demands for research integrity in economics can be met.