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re3data is the global registry for research data repositories. As of January 2021, the service lists over 2700 digital repositories across all scientific disciplines and provides an extensive description of repositories based on a detailed metadata schema. A variety of funders, publishers, and scientific organizations around the world refer to re3data within their guidelines and policies, recommending the service to researchers looking for appropriate repositories for storage and discovery of research data. The presentation focuses on the development of the Conceptual Model for User Stories for the re3data service. Since its launch in 2012, re3data has been designed to support open science activities. The registry serves the needs of heterogeneous user groups, first of all aimed at researchers searching for suitable repositories to find and deposit research data. In addition, re3data contributes to other open science infrastructures as a valuable source of metadata about research data repositories. To better understand the needs of its users the re3data COREF project conducted a stakeholder survey. Participants were also invited to join an associated online workshop to further discuss their requirements and recommendations (see Report ). The presentation introduces on the most important findings from these activities and introduce common use cases of re3data. It addresses how re3data currently interlinks with several other services and how the integration of third-party information can be realized.
Open Science Fair 2021, ; doi:10.5281/ZENODO.5529651
research data repositories, registry service, re3data COREF project, conceptual model, use case analysis
research data repositories, registry service, re3data COREF project, conceptual model, use case analysis
| 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). | 0 | |
| 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. | Average | |
| 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 |
| views | 47 | |
| downloads | 16 |

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