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Making FAIR data a reality requires collaboration and efforts at various levels. Libraries can and do play a core role at the institutional level in applying the FAIR principles in day to day practice. This workshop Presents first hand experiences from libraries applying the FAIR principles Highlights and summarizes the knowledge, skills and competencies of this newly evolving data profession in libraries, and Provides guidance and action points for further development of the data profession in libraries. We invite library data experts, staff as well as newcomers to join us for a lively discussion on the FAIR state-of-play in libraries and the road ahead. The workshop will address the following questions: What roles and responsibilities have libraries in making FAIR a reality, where are libraries most relevant? How are the FAIR-principles applied in daily practice? How do library data experts connect with other data experts e.g. data engineers, data scientists? How do library and disciplinary data professions evolve in a FAIR data ecosystem? What are main challenges for implementing FAIR, and possible steps to address these? Additionally, the workshop will provide a report about recent activities of the working group, e.g. a survey on FAIR at the level of repositories and a collection of case studies.
| 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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