
MEx (Metadata Exchange) is a digital platform that maps metadata on research activities and research data at the Robert Koch Institute (RKI) in a transparent way, aiming to facilitate the reuse of this data. MEx is one of many measures being taken to implement the German government's open data strategy. The core data is managed in the MEx management platform, and this is maintained, kept up-to-date, and evolves as the requirements of the research environment change. The objective of the repository project is to ensure that as that data evolves and is added to, that a stable view can be provided to researchers which maintains the version history of changes, and to enable researchers to discover and view research important to them. This presentation will introduce MEx as a project and data model/vocabulary, and talk about the motivation for publishing the dataset in a repository. The platform chosen for this is InvenioRDM, and we will talk about the reasons for that, and then look at the technical changes that were required to support the model.
InvenioRDM, Open Data Strategy, Public Health, Europeah Health Data Space, Research Data, OR2026
InvenioRDM, Open Data Strategy, Public Health, Europeah Health Data Space, Research Data, OR2026
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
