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IDCC 2020 Dublin lightning talk: Towards a community-endorsed data steward profession for supporting research (106) To create FAIR data management, it is important to build sufficient, high-quality data steward expertise in organisations. Based on an analysis of competency frameworks and initiatives (e.g. EOSCpilot, EDISON, Purdue and HANDS), this project aims to professionalise data stewardship, including a function description and training. The outcomes of the project can be found at: https://zenodo.org/communities/nl-ds-pd-ls. The ZonMw project (Aug. '18 - Sept. '19) has delivered a function description for three data steward roles: policy, research and infrastructure. For each data steward role, competence areas with tasks were defined, and these tasks were translated into learning objectives based on Bloom. In 2019/20, the project is continued as a key project in the Dutch National Platform Open Science.
| 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 |
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