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This module is a part of the introductory online course “Data Steward Training”. In this course learners will develop the skills and gain knowledge on how to be a successful data steward. By the end of this module, learners will: Understand different types of RDM services which their institution or organisation may need to provide. Be able to use the RISE model to plan and develop your RDM services. This module is suitable for data stewards and trainers seeking introductory learning material. It will take on average one hour to complete the module. The materials include a video presentation, a full video transcript, a PowerPoint presentation and a learning activity to support learning. This learning material has been developed in collaboration with the FAIRsFAIR and EOSC Synergy projects. The majority of the material has been used in previous online data steward instructor training workshops in 2020 and 2021. The Data Steward Training course contains a total of 5 modules, each of which has been uploaded to Zenodo separately. Please see the related identifiers for the DOI's for each module. Please note: that module 4 (Data Management Plans) has been re-used and was originally published as module 8 of the EOSC synergy course: Bringing synergy to better data management and research in Europe - https://doi.org/10.5281/zenodo.5517465
research data management, research data management services, data stewards, RISE model
research data management, research data management services, data stewards, RISE model
citations 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 |
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