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In this workshop we focus on three aspects of FAIR data stewardship: Data sharing, publishing and archiving. Many scientists have an insufficient overview over data services, roles and their responsibilities towards safe data sharing, archiving and publishing. Shedding light on these roles helps to improve quality of archived and published data and metadata. Moreover, more information on safe data sharing of potentially sensitive data is needed in the scientific communities. The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities towards data are distributed. The course does not require any prior knowledge.
Target discipline: General basic Target audience: Scientists/Researchers, Data stewards Experience level in Data management: Beginner Covers: Data Sharing and Data publication
Data Life Cycle, FAIR, Data management, Data stewardship, data repositories, data sharing, data publication, Data Life Cycle, FAIR, Data management, Data stewardship, data repositories, data sharing, data publication
Data Life Cycle, FAIR, Data management, Data stewardship, data repositories, data sharing, data publication, Data Life Cycle, FAIR, Data management, Data stewardship, data repositories, data sharing, data publication
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| 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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