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Finding relevant research data is tremendously easier if the data are described in detail using controlled vocabularies and discipline-specific metadata. But this is still not enough. Data descriptions should be descriptions of data, scope, collection methods and use, not published research outputs and results. This skill is important for anyone describing research data in repository services, libraries, or research-producing organisations. In this webinar, experts from the Finnish Social Sciences Data Archive, a service provider for CESSDA, explained how data are processed and described and what ingredients are needed from a researcher to produce rich metadata describing datasets. In addition, the tools supported by CESSDA for metadata production were presented. Presentations package includes the Q & A document from the discussion part of the webinar.
metadata, research data, repositories, controlled vocabularies, data description
metadata, research data, repositories, controlled vocabularies, data description
| 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 | 20 | |
| downloads | 15 |

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