Publikationen der Abteilung Forschungsinfrastruktur

The Economics of Replication

Replication studies are considered a hallmark of good scientific practice. Yet they are treated among researchers as an ideal to be professed but not practiced. To provide incentives and favorable boundary conditions for replication practice, the main stakeholders need to be aware of what drives replication. Here we investigate how often replication studies are published in empirical economics and ...

Is There a Doctor on Board? Collecting Generalizable Data on Doctoral Candidates in Germany

Despite of its relevance for science policy and the scientific community, empirical research on doctoral education in Germany is sparse. The few papers available face challenges in the sampling approach: simple random sampling is not possible, because a universal register of PhD candidates in Germany does not exist yet. This article focuses on the issues related to possible data collections for the ...

Perceptions and Practices of Replication by Social and Behavioral Scientists: Making Replications a Mandatory Element of Curricula Would Be Useful

We live in a time of increasing publication rates and specialization of scientific disciplines. More and more, the research community is facing the challenge of assuring the quality of research and maintaining trust in the scientific enterprise. Replication studies are necessary to detect erroneous research. Thus, the replicability of research is considered a hallmark of good scientific practice and ...

Flipping Journals to Open: Rethinking Publishing Infrastructure

Open access means that research outputs, such as articles and data, are free of restrictions on access and free of restrictions on use. In the light of recent market developments in academic publishing, we argue in this essay that the discourse about open access must include a discussion about research infrastructure and innovation in academic publishing.

A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing

Academic data sharing is a way for researchers to collaborate and thereby meet the needs of an increasingly complex research landscape. It enables researchers to verify results and to pursuit new research questions with “old” data. It is therefore not surprising that data sharing is advocated by funding agencies, journals, and researchers alike. We surveyed 2661 individual academic researchers across ...

Perceptions and Practices of Replication by Social and Behavioral Scientists: Making Replications a Mandatory Element of Curricula Would Be Useful

We live in a time of increasing publication rates and specialization of scientific disciplines. More and more, the research community is facing the challenge of assuring the quality of research and maintaining trust in the scientific enterprise. Replication studies are necessary to detect erroneous research. Thus, the replicability of research is considered a hallmark of good scientific practice and ...

What Drives Academic Data Sharing?

Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly ...

Experimental Evidence of the Effect of Monetary Incentives on Cross-Sectional and Longitudinal Response: Experiences from the Socio-Economic Panel (SOEP)

The paper gives an overview of two experiments implemented in the German Socio-Economic Panel (SOEP) considering the effect of monetary incentives on cross-sectional and longitudinal response propensities. We conclude that the overall effects of monetary incentives on response rates are positive compared to the "classic" SOEP setting, where a charity lottery ticket is offered as an incentive. In the ...

SOEP FiD – 'Familien in Deutschland', Data Documentation Release FiDv4.0

Konzeption zum Studienportal Forschungsdatenzentrum Betriebs- und Organsationsdaten (FDZ-BO) am Deutschen Institut für Wirtschaftsforschung