RDMeasurement – Development of a quality assurance model for Research Data Management (RDM) in the Humanities
This poster briefly describes my PhD-project, which focuses on the abstract modeling of RDM needs and services within the Arts and Humanities. I am developing a protocol-template for RDM consultations, identifying categories of RDM demands and developing a formal language to describe RDM. All this is done on the basis of inductive category building in the sense of a summarizing content analysis which I am performing on documentations of RDM consultations.
My goal is to consolidate, professionalize and measure RDM both qualitatively and quantitatively. This will in turn make it possible to control RDM activities, make reliable statements on actual RDM and evaluate service and organization structures. In addition, I am modeling generic workflows to cope with RDM needs and strategies in the context of RDM consultations. In sum, I intend to define and establish a comprehensive framework on RDM, covering at least the Humanities.
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Name & surname:
Relevance / Link to RDA:
The Data Center for the Humanities (DCH) is the first contact point for researchers in the Arts and Humanities at the University of Cologne - and not only - whenever there are any questions on RDM. Similarly to the aims of the Research Data Alliance, our main goals are (1) supporting researchers to make reseach data open in the sense of the FAIR-principles, (2) working in and establish comprehensive networks disciplinary and interdisciplinary and (3) raising awareness on RDM through training.
In this context, my research on standardization of RDM-structures and -workflows, on the theorization of RDM-requirements and the modelling of RDM-landscapes, is touching central aspects of various RDA working and interst groups, e.g. the standardization and implementation of data policies, the development of education and training standards on handling reseach data or common standards for DMPs.
I am looking forward to having a fruitful exchange with other researchers, experts and colleagues in the field of RDM, in order to get to know other approaches, strategies and points of view.
Scientific Discipline / Research Area:
Data Center for the Humanities (DCH), University of Cologne, Germany