INTRODUCTION As more and more research data becomes better and more easily available, data citation gains in importance. The management of research data has been high on the agenda in academia for more than five years. Nevertheless, not all data policies include data citation, and problems like versioning and granularity remain. SERVICE DESCRIPTION da|ra operates as an allocation agency for DataCite and offers the registration service for social and economic research data in Germany. The service is jointly run by GESIS and ZBW, thereby merging experiences on the fields of Social Sciences and Economics. The authors answer questions pertaining to the most frequent aspects of research data registration like versioning and granularity as well as recommend the use of persistent identifiers linked with enriched metadata at the landing page. NEXT STEPS The promotion of data sharing and the development of a citation culture among the scientific community are future challenges. Interoperability becomes increasingly important for publishers and infrastructure providers. The already existent heterogeneity of services demands solutions for better user guidance. Building information competence is an asset of libraries, which can and should be expanded to research data.
This report describes the results of a workshop on research data management (RDM) that took place in June 2019. More than 50 experts from 46 different non-university institutes covering all Leibniz Sections participated. The aim of the workshop was the intra- and transdisciplinary exchange among RDM experts of different institutions and sections within the Leibniz Association on current questions and challenges but also on experiences and activities with respect to RDM. The event was structured in inspiring talks, a World Café to discuss ideas and solutions related to RDM and an exchange of experts following their affiliation to the different Leibniz sections. The workshop revealed that most institutions, independent of scientific fields, face similar overarching problems with respect to RDM, e.g. missing incentives and no awareness of the benefits that would arise from a proper RDM and data sharing. The event also endorsed that the Research Data Working Group of the Leibniz Association (AK Forschungsdaten) is a place for the exchange of all topics around RDM and enables discussions on how to refine RDM at all institutions and in all scientific fields.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in
Watch the VIDEO here.Replications are pivotal for the credibility of empirical economics. It is widely recognized in economics that replication studies are a necessary condition for scientific integrity. Alarmingly, several studies indicate that a significant share of empirical economics research cannot be replicated. At the same time, the awareness among researchers, that empirically-based research is often based on shaky grounds, has increased in the last years. It becomes more and more evident that there is a need for more replications in economics to regain trust and credibility in empirical economics research.Though established scholarly journals have adopted replication policies in recent years, replication activities only slightly increased. Against this background our talk investigates if and how journals in economics foster replicable research. For this purpose, we will address two aspects:Journals’ data policies and their effective enforcement in economics: The first part of our talk presents the findings of a new study, in which we evaluated almost 600 articles published in 37 well-regarded journals with a data availability policy. First, we highlight the share of articles that fall under the data policy. Subsequently, the talk contrasts for how many of these data-based articles replication files were available in journals’ data archives and/or the supplemental information section of the article. Moreover, the exact requirements of journals’ data policies have been contrasted to the replication files available on journals’ web pages (respectively in their data archives).We developed a ‘compliance rate’ for each journal in our study. The higher the compliance rate the more do journals enforce their data policy. In the first part of our talk, we also discuss the question whether voluntary data policies are effective in fostering replicable research. For this purpose, we compare the compliance rate of journals with a voluntary data policy to their mandatory counterparts.Journals as publication outlets for replication studies: Though researchers agree that replication studies are needed to regain trust and credibility in empirical economic research, replication activities only slightly increased in recent years. One reason for that finding can be that in the current system replicating other people’s result does not progresses researcher’s career. Another reason is the paucity of publication outlets for such replication studies. In this part of our talk we also discuss whether established journals should implement replication sections or whether a journal which is entirely dedicated to replication, would be a better way to foster the publication of replication studies. As a showcase we will briefly introduce the newly founded “International Journal for Re-Views in Empirical Economics” (IREE).To conclude, we sketch the current and potential future developments in economics when it comes to reproducible research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.