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The humanities today use digital tools for their research projects. This training is an opportunity to review research data and FAIR principles in humanities projects. In this session, we provide an introduction to the research data life cycle, and then discuss how the digital humanities produce and must manage research data. We show what it means to create FAIR data, even before a project begins. We also see the management differences between the physical objects, their various digital forms and metadata, as well as the research data produced during the project. Finally, we finish with a review of tools and good practices, before showing examples, such as data reuse and the use of the CIDOC CRM ontology.
Co-funded by the Erasmus+ Programme of the European Union
FAIR principles, research data, humanities
FAIR principles, research data, humanities
| 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 | 62 | |
| downloads | 42 |

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